Pandas Profiling Report

Dataset statistics

Number of variables	46
Number of observations	6687
Missing cells	15905
Missing cells (%)	5.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.3 MiB
Average record size in memory	368.0 B

Variable types

Categorical	38
Numeric	8

Alerts

`investigacao_aeronave_liberada` has constant value "SIM"	Constant
`investigacao_status` has constant value "FINALIZADA"	Constant
`divulgacao_relatorio_publicado` has constant value "SIM"	Constant
`ocorrencia_cidade` has a high cardinality: 344 distinct values	High cardinality
`ocorrencia_aerodromo` has a high cardinality: 152 distinct values	High cardinality
`ocorrencia_dia` has a high cardinality: 511 distinct values	High cardinality
`ocorrencia_hora` has a high cardinality: 230 distinct values	High cardinality
`ocorrencia_localizacao` has a high cardinality: 525 distinct values	High cardinality
`ocorrencia_DT` has a high cardinality: 560 distinct values	High cardinality
`ocorrencia_tipo` has a high cardinality: 58 distinct values	High cardinality
`ocorrencia_tipo_categoria` has a high cardinality: 58 distinct values	High cardinality
`aeronave_matricula` has a high cardinality: 553 distinct values	High cardinality
`aeronave_modelo` has a high cardinality: 204 distinct values	High cardinality
`aeronave_tipo_icao` has a high cardinality: 113 distinct values	High cardinality
`aeronave_voo_origem` has a high cardinality: 218 distinct values	High cardinality
`aeronave_voo_destino` has a high cardinality: 223 distinct values	High cardinality
`fator_nome` has a high cardinality: 69 distinct values	High cardinality
`recomendacao_conteudo` has a high cardinality: 1117 distinct values	High cardinality
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `aeronave_registro_segmento` and 9 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `aeronave_nivel_dano` and 9 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `aeronave_motor_tipo` and 9 other fields	High correlation
`aeronave_fabricante` is highly correlated with `aeronave_motor_tipo` and 11 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_tipo_categoria` and 8 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `aeronave_motor_tipo` and 8 other fields	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_tipo_categoria` and 9 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `aeronave_motor_tipo` and 6 other fields	High correlation
`fator_area` is highly correlated with `fator_nome` and 5 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_tipo_categoria` and 9 other fields	High correlation
`fator_nome` is highly correlated with `fator_area` and 6 other fields	High correlation
`ocorrencia_uf` is highly correlated with `divulgacao_relatorio_publicado` and 4 other fields	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `aeronave_motor_tipo` and 24 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `aeronave_motor_tipo` and 21 other fields	High correlation
`investigacao_status` is highly correlated with `aeronave_motor_tipo` and 24 other fields	High correlation
`aeronave_registro_categoria` is highly correlated with `aeronave_motor_tipo` and 8 other fields	High correlation
`fator_condicionante` is highly correlated with `fator_area` and 6 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo_categoria` and 7 other fields	High correlation
`recomendacao_status` is highly correlated with `divulgacao_relatorio_publicado` and 3 other fields	High correlation
`investigacao_aeronave_liberada` is highly correlated with `aeronave_motor_tipo` and 24 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_tipo_categoria` and 9 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `aeronave_motor_tipo` and 8 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `ocorrencia_tipo_categoria` and 8 other fields	High correlation
`fator_aspecto` is highly correlated with `fator_area` and 5 other fields	High correlation
`aeronave_fase_operacao` is highly correlated with `divulgacao_relatorio_publicado` and 5 other fields	High correlation
`recomendacao_destinatario_sigla` is highly correlated with `divulgacao_relatorio_publicado` and 3 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_uf` and 17 other fields	High correlation
`ocorrencia_uf` is highly correlated with `ocorrencia_classificacao` and 25 other fields	High correlation
`total_recomendacoes` is highly correlated with `ocorrencia_classificacao` and 19 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `ocorrencia_uf` and 9 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo` and 3 other fields	High correlation
`ocorrencia_mes` is highly correlated with `ocorrencia_uf` and 13 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_classificacao` and 29 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `ocorrencia_classificacao` and 29 other fields	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_classificacao` and 25 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `ocorrencia_uf` and 14 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `ocorrencia_uf` and 10 other fields	High correlation
`aeronave_fabricante` is highly correlated with `ocorrencia_classificacao` and 25 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `ocorrencia_uf` and 18 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_pmd` is highly correlated with `ocorrencia_classificacao` and 16 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `ocorrencia_classificacao` and 16 other fields	High correlation
`aeronave_assentos` is highly correlated with `ocorrencia_classificacao` and 15 other fields	High correlation
`aeronave_ano_fabricacao` is highly correlated with `ocorrencia_uf` and 13 other fields	High correlation
`aeronave_registro_categoria` is highly correlated with `ocorrencia_uf` and 10 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `ocorrencia_classificacao` and 19 other fields	High correlation
`aeronave_fase_operacao` is highly correlated with `ocorrencia_classificacao` and 25 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `ocorrencia_classificacao` and 20 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_fatalidades_total` is highly correlated with `ocorrencia_uf` and 13 other fields	High correlation
`fator_nome` is highly correlated with `ocorrencia_classificacao` and 22 other fields	High correlation
`fator_aspecto` is highly correlated with `ocorrencia_tipo` and 4 other fields	High correlation
`fator_condicionante` is highly correlated with `ocorrencia_classificacao` and 8 other fields	High correlation
`fator_area` is highly correlated with `ocorrencia_tipo` and 4 other fields	High correlation
`recomendacao_status` is highly correlated with `ocorrencia_uf` and 5 other fields	High correlation
`recomendacao_destinatario_sigla` is highly correlated with `ocorrencia_classificacao` and 10 other fields	High correlation
`recomendacao_dias_para_feedback` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`ocorrencia_aerodromo` has 3399 (50.8%) missing values	Missing
`investigacao_aeronave_liberada` has 1519 (22.7%) missing values	Missing
`ocorrencia_localizacao` has 149 (2.2%) missing values	Missing
`aeronave_operador_categoria` has 6674 (99.8%) missing values	Missing
`aeronave_ano_fabricacao` has 328 (4.9%) missing values	Missing
`aeronave_registro_segmento` has 153 (2.3%) missing values	Missing
`aeronave_voo_origem` has 68 (1.0%) missing values	Missing
`fator_condicionante` has 734 (11.0%) missing values	Missing
`recomendacao_dias_para_feedback` has 2338 (35.0%) missing values	Missing
`aeronave_assentos` has 305 (4.6%) zeros	Zeros
`aeronave_fatalidades_total` has 4611 (69.0%) zeros	Zeros

Reproduction

Analysis started	2022-05-29 04:55:28.748343
Analysis finished	2022-05-29 04:55:43.880133
Duration	15.13 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

ocorrencia_classificacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

ACIDENTE	4985
INCIDENTE GRAVE	1458
INCIDENTE	244

Length

Max length	15
Median length	8
Mean length	9.562733662
Min length	8

Characters and Unicode

Total characters	63946
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ACIDENTE
2nd row	ACIDENTE
3rd row	ACIDENTE
4th row	ACIDENTE
5th row	ACIDENTE

Common Values

Value	Count	Frequency (%)
ACIDENTE	4985	74.5%
INCIDENTE GRAVE	1458	21.8%
INCIDENTE	244	3.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
acidente	4985	61.2%
incidente	1702	20.9%
grave	1458	17.9%

Most occurring characters

Value	Count	Frequency (%)
E	14832	23.2%
I	8389	13.1%
N	8389	13.1%
C	6687	10.5%
D	6687	10.5%
T	6687	10.5%
A	6443	10.1%
	1458	2.3%
G	1458	2.3%
R	1458	2.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	62488	97.7%
Space Separator	1458	2.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	14832	23.7%
I	8389	13.4%
N	8389	13.4%
C	6687	10.7%
D	6687	10.7%
T	6687	10.7%
A	6443	10.3%
G	1458	2.3%
R	1458	2.3%
V	1458	2.3%

Space Separator

Value	Count	Frequency (%)
	1458	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	62488	97.7%
Common	1458	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	14832	23.7%
I	8389	13.4%
N	8389	13.4%
C	6687	10.7%
D	6687	10.7%
T	6687	10.7%
A	6443	10.3%
G	1458	2.3%
R	1458	2.3%
V	1458	2.3%

Common

Value	Count	Frequency (%)
	1458	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	63946	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	14832	23.2%
I	8389	13.1%
N	8389	13.1%
C	6687	10.5%
D	6687	10.5%
T	6687	10.5%
A	6443	10.1%
	1458	2.3%
G	1458	2.3%
R	1458	2.3%

ocorrencia_cidade
Categorical

HIGH CARDINALITY

Distinct	344
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

BRASÍLIA - DF	472
RIO DE JANEIRO - RJ	265
MANAUS - AM	220
SANTOS - SP	208
CAUCAIA - CE	166
Other values (339)	5356

Length

Max length	37
Median length	31
Mean length	14.6143263
Min length	8

Characters and Unicode

Total characters	97726
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	0.3%

Sample

1st row	GUARULHOS - SP
2nd row	GUARULHOS - SP
3rd row	GUARULHOS - SP
4th row	GUARULHOS - SP
5th row	GUARULHOS - SP

Common Values

Value	Count	Frequency (%)
BRASÍLIA - DF	472	7.1%
RIO DE JANEIRO - RJ	265	4.0%
MANAUS - AM	220	3.3%
SANTOS - SP	208	3.1%
CAUCAIA - CE	166	2.5%
RECIFE - PE	120	1.8%
ALMIRANTE TAMANDARÉ - PR	117	1.7%
GOIÂNIA - GO	109	1.6%
ITÁPOLIS - SP	109	1.6%
SÃO PAULO - SP	94	1.4%
Other values (334)	4807	71.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	6687	28.6%
sp	1212	5.2%
am	517	2.2%
rs	510	2.2%
pa	498	2.1%
brasília	472	2.0%
df	472	2.0%
go	444	1.9%
pr	428	1.8%
do	425	1.8%
Other values (422)	11751	50.2%

Most occurring characters

Value	Count	Frequency (%)
	16729	17.1%
A	11835	12.1%
-	6689	6.8%
R	6677	6.8%
S	5896	6.0%
O	5813	5.9%
I	5590	5.7%
E	4202	4.3%
P	3926	4.0%
N	3223	3.3%
Other values (28)	27146	27.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	74284	76.0%
Space Separator	16729	17.1%
Dash Punctuation	6689	6.8%
Other Punctuation	24	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	11835	15.9%
R	6677	9.0%
S	5896	7.9%
O	5813	7.8%
I	5590	7.5%
E	4202	5.7%
P	3926	5.3%
N	3223	4.3%
M	3128	4.2%
T	2919	3.9%
Other values (25)	21075	28.4%

Space Separator

Value	Count	Frequency (%)
	16729	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6689	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74284	76.0%
Common	23442	24.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	11835	15.9%
R	6677	9.0%
S	5896	7.9%
O	5813	7.8%
I	5590	7.5%
E	4202	5.7%
P	3926	5.3%
N	3223	4.3%
M	3128	4.2%
T	2919	3.9%
Other values (25)	21075	28.4%

Common

Value	Count	Frequency (%)
	16729	71.4%
-	6689	28.5%
'	24	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94331	96.5%
None	3395	3.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	16729	17.7%
A	11835	12.5%
-	6689	7.1%
R	6677	7.1%
S	5896	6.3%
O	5813	6.2%
I	5590	5.9%
E	4202	4.5%
P	3926	4.2%
N	3223	3.4%
Other values (17)	23751	25.2%

None

Value	Count	Frequency (%)
Í	665	19.6%
É	559	16.5%
Á	551	16.2%
Ã	480	14.1%
Ó	379	11.2%
Â	299	8.8%
Ç	222	6.5%
Ê	90	2.7%
Ú	87	2.6%
Ô	51	1.5%

ocorrencia_uf
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	27
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

SP	1212
AM	517
RS	510
PA	498
DF	472
Other values (22)	3478

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	13374
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SP
2nd row	SP
3rd row	SP
4th row	SP
5th row	SP

Common Values

Value	Count	Frequency (%)
SP	1212	18.1%
AM	517	7.7%
RS	510	7.6%
PA	498	7.4%
DF	472	7.1%
GO	444	6.6%
PR	428	6.4%
RJ	381	5.7%
BA	337	5.0%
MT	321	4.8%
Other values (17)	1567	23.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sp	1212	18.1%
am	517	7.7%
rs	510	7.6%
pa	498	7.4%
df	472	7.1%
go	444	6.6%
pr	428	6.4%
rj	381	5.7%
ba	337	5.0%
mt	321	4.8%
Other values (17)	1567	23.4%

Most occurring characters

Value	Count	Frequency (%)
P	2461	18.4%
S	2121	15.9%
A	1668	12.5%
R	1459	10.9%
M	1349	10.1%
G	666	5.0%
E	514	3.8%
O	501	3.7%
F	472	3.5%
D	472	3.5%
Other values (7)	1691	12.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13374	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	2461	18.4%
S	2121	15.9%
A	1668	12.5%
R	1459	10.9%
M	1349	10.1%
G	666	5.0%
E	514	3.8%
O	501	3.7%
F	472	3.5%
D	472	3.5%
Other values (7)	1691	12.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13374	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	2461	18.4%
S	2121	15.9%
A	1668	12.5%
R	1459	10.9%
M	1349	10.1%
G	666	5.0%
E	514	3.8%
O	501	3.7%
F	472	3.5%
D	472	3.5%
Other values (7)	1691	12.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13374	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	2461	18.4%
S	2121	15.9%
A	1668	12.5%
R	1459	10.9%
M	1349	10.1%
G	666	5.0%
E	514	3.8%
O	501	3.7%
F	472	3.5%
D	472	3.5%
Other values (7)	1691	12.6%

ocorrencia_aerodromo
Categorical

HIGH CARDINALITY
MISSING

Distinct	152
Distinct (%)	4.6%
Missing	3399
Missing (%)	50.8%
Memory size	52.4 KiB

SBBR	462
SBGL	124
SBEG	110
SDIO	101
SBGO	94
Other values (147)	2397

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	13152
Distinct characters	27
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.2%

Sample

1st row	SBGR
2nd row	SBGR
3rd row	SBGR
4th row	SBGR
5th row	SBGR

Common Values

Value	Count	Frequency (%)
SBBR	462	6.9%
SBGL	124	1.9%
SBEG	110	1.6%
SDIO	101	1.5%
SBGO	94	1.4%
SWUZ	82	1.2%
SBTE	80	1.2%
SBRF	72	1.1%
SBGR	68	1.0%
SWCA	64	1.0%
Other values (142)	2031	30.4%
(Missing)	3399	50.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sbbr	462	14.1%
sbgl	124	3.8%
sbeg	110	3.3%
sdio	101	3.1%
sbgo	94	2.9%
swuz	82	2.5%
sbte	80	2.4%
sbrf	72	2.2%
sbgr	68	2.1%
swca	64	1.9%
Other values (142)	2031	61.8%

Most occurring characters

Value	Count	Frequency (%)
S	3857	29.3%
B	2597	19.7%
R	889	6.8%
D	573	4.4%
G	556	4.2%
I	500	3.8%
W	447	3.4%
N	413	3.1%
P	299	2.3%
E	297	2.3%
Other values (17)	2724	20.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13148	> 99.9%
Decimal Number	4	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	3857	29.3%
B	2597	19.8%
R	889	6.8%
D	573	4.4%
G	556	4.2%
I	500	3.8%
W	447	3.4%
N	413	3.1%
P	299	2.3%
E	297	2.3%
Other values (16)	2720	20.7%

Decimal Number

Value	Count	Frequency (%)
5	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13148	> 99.9%
Common	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	3857	29.3%
B	2597	19.8%
R	889	6.8%
D	573	4.4%
G	556	4.2%
I	500	3.8%
W	447	3.4%
N	413	3.1%
P	299	2.3%
E	297	2.3%
Other values (16)	2720	20.7%

Common

Value	Count	Frequency (%)
5	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13152	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	3857	29.3%
B	2597	19.7%
R	889	6.8%
D	573	4.4%
G	556	4.2%
I	500	3.8%
W	447	3.4%
N	413	3.1%
P	299	2.3%
E	297	2.3%
Other values (17)	2724	20.7%

ocorrencia_dia
Categorical

HIGH CARDINALITY

Distinct	511
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

09/04/2018	234
13/08/2014	208
26/06/2015	136
06/11/2012	117
12/07/2018	96
Other values (506)	5896

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	66870
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	37 ?
Unique (%)	0.6%

Sample

1st row	06/01/2012
2nd row	06/01/2012
3rd row	06/01/2012
4th row	06/01/2012
5th row	06/01/2012

Common Values

Value	Count	Frequency (%)
09/04/2018	234	3.5%
13/08/2014	208	3.1%
26/06/2015	136	2.0%
06/11/2012	117	1.7%
12/07/2018	96	1.4%
28/11/2018	90	1.3%
23/09/2015	90	1.3%
13/04/2013	88	1.3%
30/11/2017	82	1.2%
16/12/2013	78	1.2%
Other values (501)	5468	81.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
09/04/2018	234	3.5%
13/08/2014	208	3.1%
26/06/2015	136	2.0%
06/11/2012	117	1.7%
12/07/2018	96	1.4%
28/11/2018	90	1.3%
23/09/2015	90	1.3%
13/04/2013	88	1.3%
30/11/2017	82	1.2%
16/12/2013	78	1.2%
Other values (501)	5468	81.8%

Most occurring characters

Value	Count	Frequency (%)
0	15529	23.2%
/	13374	20.0%
2	12077	18.1%
1	11716	17.5%
3	2526	3.8%
8	2399	3.6%
4	2188	3.3%
6	1858	2.8%
5	1739	2.6%
9	1735	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	53496	80.0%
Other Punctuation	13374	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15529	29.0%
2	12077	22.6%
1	11716	21.9%
3	2526	4.7%
8	2399	4.5%
4	2188	4.1%
6	1858	3.5%
5	1739	3.3%
9	1735	3.2%
7	1729	3.2%

Other Punctuation

Value	Count	Frequency (%)
/	13374	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	66870	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	15529	23.2%
/	13374	20.0%
2	12077	18.1%
1	11716	17.5%
3	2526	3.8%
8	2399	3.6%
4	2188	3.3%
6	1858	2.8%
5	1739	2.6%
9	1735	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66870	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	15529	23.2%
/	13374	20.0%
2	12077	18.1%
1	11716	17.5%
3	2526	3.8%
8	2399	3.6%
4	2188	3.3%
6	1858	2.8%
5	1739	2.6%
9	1735	2.6%

ocorrencia_hora
Categorical

HIGH CARDINALITY

Distinct	230
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

00:32:00	234
13:03:00	210
12:30:00	173
20:00:00	162
19:00:00	161
Other values (225)	5747

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	53496
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	13:44:00
2nd row	13:44:00
3rd row	13:44:00
4th row	13:44:00
5th row	13:44:00

Common Values

Value	Count	Frequency (%)
00:32:00	234	3.5%
13:03:00	210	3.1%
12:30:00	173	2.6%
20:00:00	162	2.4%
19:00:00	161	2.4%
21:30:00	148	2.2%
14:00:00	148	2.2%
12:00:00	142	2.1%
19:38:00	136	2.0%
18:00:00	130	1.9%
Other values (220)	5043	75.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:32:00	234	3.5%
13:03:00	210	3.1%
12:30:00	173	2.6%
20:00:00	162	2.4%
19:00:00	161	2.4%
21:30:00	148	2.2%
14:00:00	148	2.2%
12:00:00	142	2.1%
19:38:00	136	2.0%
18:00:00	130	1.9%
Other values (220)	5043	75.4%

Most occurring characters

Value	Count	Frequency (%)
0	20599	38.5%
:	13374	25.0%
1	6809	12.7%
2	3084	5.8%
3	2784	5.2%
5	2018	3.8%
4	1624	3.0%
9	1133	2.1%
8	877	1.6%
7	767	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	40122	75.0%
Other Punctuation	13374	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	20599	51.3%
1	6809	17.0%
2	3084	7.7%
3	2784	6.9%
5	2018	5.0%
4	1624	4.0%
9	1133	2.8%
8	877	2.2%
7	767	1.9%
6	427	1.1%

Other Punctuation

Value	Count	Frequency (%)
:	13374	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	53496	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	20599	38.5%
:	13374	25.0%
1	6809	12.7%
2	3084	5.8%
3	2784	5.2%
5	2018	3.8%
4	1624	3.0%
9	1133	2.1%
8	877	1.6%
7	767	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53496	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	20599	38.5%
:	13374	25.0%
1	6809	12.7%
2	3084	5.8%
3	2784	5.2%
5	2018	3.8%
4	1624	3.0%
9	1133	2.1%
8	877	1.6%
7	767	1.4%

investigacao_aeronave_liberada
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1519
Missing (%)	22.7%
Memory size	52.4 KiB

SIM	5168

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15504
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SIM
2nd row	SIM
3rd row	SIM
4th row	SIM
5th row	SIM

Common Values

Value	Count	Frequency (%)
SIM	5168	77.3%
(Missing)	1519	22.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sim	5168	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	5168	33.3%
I	5168	33.3%
M	5168	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15504	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	5168	33.3%
I	5168	33.3%
M	5168	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15504	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	5168	33.3%
I	5168	33.3%
M	5168	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15504	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	5168	33.3%
I	5168	33.3%
M	5168	33.3%

investigacao_status
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

FINALIZADA	6687

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	66870
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FINALIZADA
2nd row	FINALIZADA
3rd row	FINALIZADA
4th row	FINALIZADA
5th row	FINALIZADA

Common Values

Value	Count	Frequency (%)
FINALIZADA	6687	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
finalizada	6687	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	20061	30.0%
I	13374	20.0%
F	6687	10.0%
N	6687	10.0%
L	6687	10.0%
Z	6687	10.0%
D	6687	10.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	66870	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	20061	30.0%
I	13374	20.0%
F	6687	10.0%
N	6687	10.0%
L	6687	10.0%
Z	6687	10.0%
D	6687	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66870	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	20061	30.0%
I	13374	20.0%
F	6687	10.0%
N	6687	10.0%
L	6687	10.0%
Z	6687	10.0%
D	6687	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66870	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	20061	30.0%
I	13374	20.0%
F	6687	10.0%
N	6687	10.0%
L	6687	10.0%
Z	6687	10.0%
D	6687	10.0%

divulgacao_relatorio_publicado
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

SIM	6687

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	20061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SIM
2nd row	SIM
3rd row	SIM
4th row	SIM
5th row	SIM

Common Values

Value	Count	Frequency (%)
SIM	6687	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sim	6687	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	6687	33.3%
I	6687	33.3%
M	6687	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	20061	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	6687	33.3%
I	6687	33.3%
M	6687	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20061	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	6687	33.3%
I	6687	33.3%
M	6687	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	6687	33.3%
I	6687	33.3%
M	6687	33.3%

total_recomendacoes
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.115597428

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	6
95-th percentile	9
Maximum	13
Range	12
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.993402937
Coefficient of variation (CV)	0.7273313265
Kurtosis	0.8228763435
Mean	4.115597428
Median Absolute Deviation (MAD)	1
Skewness	1.221030728
Sum	27521
Variance	8.960461141
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2	1566	23.4%
3	1209	18.1%
1	1010	15.1%
4	848	12.7%
9	549	8.2%
6	486	7.3%
7	266	4.0%
5	245	3.7%
13	208	3.1%
8	200	3.0%
Other values (2)	100	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1010	15.1%
2	1566	23.4%
3	1209	18.1%
4	848	12.7%
5	245	3.7%
6	486	7.3%
7	266	4.0%
8	200	3.0%
9	549	8.2%
11	88	1.3%

Value	Count	Frequency (%)
13	208	3.1%
12	12	0.2%
11	88	1.3%
9	549	8.2%
8	200	3.0%
7	266	4.0%
6	486	7.3%
5	245	3.7%
4	848	12.7%
3	1209	18.1%

total_aeronaves_envolvidas
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

1	6157
2	530

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	6687
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	6157	92.1%
2	530	7.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	6157	92.1%
2	530	7.9%

Most occurring characters

Value	Count	Frequency (%)
1	6157	92.1%
2	530	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6157	92.1%
2	530	7.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	6687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6157	92.1%
2	530	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6157	92.1%
2	530	7.9%

ocorrencia_saida_pista
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

NÃO	5569
SIM	1118

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	20061
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	NÃO
3rd row	NÃO
4th row	NÃO
5th row	NÃO

Common Values

Value	Count	Frequency (%)
NÃO	5569	83.3%
SIM	1118	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
não	5569	83.3%
sim	1118	16.7%

Most occurring characters

Value	Count	Frequency (%)
N	5569	27.8%
Ã	5569	27.8%
O	5569	27.8%
S	1118	5.6%
I	1118	5.6%
M	1118	5.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	20061	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	5569	27.8%
Ã	5569	27.8%
O	5569	27.8%
S	1118	5.6%
I	1118	5.6%
M	1118	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20061	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	5569	27.8%
Ã	5569	27.8%
O	5569	27.8%
S	1118	5.6%
I	1118	5.6%
M	1118	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14492	72.2%
None	5569	27.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	5569	38.4%
O	5569	38.4%
S	1118	7.7%
I	1118	7.7%
M	1118	7.7%

None

Value	Count	Frequency (%)
Ã	5569	100.0%

ocorrencia_localizacao
Categorical

HIGH CARDINALITY
MISSING

Distinct	525
Distinct (%)	8.0%
Missing	149
Missing (%)	2.2%
Memory size	52.4 KiB

-158.711.111.11 / -479.186.111.11	234
-23.9597222222 / -46.3269444444	208
-3.7325 / -38.7119444444	136
\t-25.25833333\t / \t-49.32805556\t	117
-215.997.222.22 / -488.327.777.77	96
Other values (520)	5747

Length

Max length	35
Median length	32
Mean length	29.3796268
Min length	15

Characters and Unicode

Total characters	192084
Distinct characters	17
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	0.6%

Sample

1st row	-23.4355555556 / -46.4730555556
2nd row	-23.4355555556 / -46.4730555556
3rd row	-23.4355555556 / -46.4730555556
4th row	-23.4355555556 / -46.4730555556
5th row	-23.4355555556 / -46.4730555556

Common Values

Value	Count	Frequency (%)
-158.711.111.11 / -479.186.111.11	234	3.5%
-23.9597222222 / -46.3269444444	208	3.1%
-3.7325 / -38.7119444444	136	2.0%
\t-25.25833333\t / \t-49.32805556\t	117	1.7%
-215.997.222.22 / -488.327.777.77	96	1.4%
-22.81 / -43.2505555556	96	1.4%
-11.8961111111 / -44.2944444444	90	1.3%
-30.383.333.333 / -600.625	90	1.3%
-15.8691666667 / -47.9208333333	88	1.3%
-5.0605555556 / -42.8244444444	80	1.2%
Other values (515)	5303	79.3%
(Missing)	149	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	6538	33.3%
158.711.111.11	234	1.2%
479.186.111.11	234	1.2%
23.9597222222	208	1.1%
46.3269444444	208	1.1%
3.7325	136	0.7%
38.7119444444	136	0.7%
22.81	120	0.6%
t-25.25833333\t	117	0.6%
t-49.32805556\t	117	0.6%
Other values (1024)	11566	59.0%

Most occurring characters

Value	Count	Frequency (%)
4	18238	9.5%
1	16956	8.8%
3	16857	8.8%
.	16764	8.7%
2	14514	7.6%
5	14497	7.5%
6	14253	7.4%
8	13722	7.1%
	13076	6.8%
-	12928	6.7%
Other values (7)	40279	21.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135034	70.3%
Other Punctuation	27170	14.1%
Space Separator	13076	6.8%
Dash Punctuation	12928	6.7%
Lowercase Letter	3868	2.0%
Other Symbol	8	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	18238	13.5%
1	16956	12.6%
3	16857	12.5%
2	14514	10.7%
5	14497	10.7%
6	14253	10.6%
8	13722	10.2%
7	12695	9.4%
9	7255	5.4%
0	6047	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	16764	61.7%
/	6538	24.1%
\	3868	14.2%

Space Separator

Value	Count	Frequency (%)
	13076	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12928	100.0%

Lowercase Letter

Value	Count	Frequency (%)
t	3868	100.0%

Other Symbol

Value	Count	Frequency (%)
°	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	188216	98.0%
Latin	3868	2.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	18238	9.7%
1	16956	9.0%
3	16857	9.0%
.	16764	8.9%
2	14514	7.7%
5	14497	7.7%
6	14253	7.6%
8	13722	7.3%
	13076	6.9%
-	12928	6.9%
Other values (6)	36411	19.3%

Latin

Value	Count	Frequency (%)
t	3868	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	192076	> 99.9%
None	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	18238	9.5%
1	16956	8.8%
3	16857	8.8%
.	16764	8.7%
2	14514	7.6%
5	14497	7.5%
6	14253	7.4%
8	13722	7.1%
	13076	6.8%
-	12928	6.7%
Other values (6)	40271	21.0%

None

Value	Count	Frequency (%)
°	8	100.0%

ocorrencia_DT
Categorical

HIGH CARDINALITY

Distinct	560
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

2018-09-04 00:32:00	234
2014-08-13 13:03:00	208
2015-06-26 19:38:00	136
2012-06-11 21:30:00	117
2018-12-07 10:50:00	96
Other values (555)	5896

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	127053
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	0.6%

Sample

1st row	2012-06-01 13:44:00
2nd row	2012-06-01 13:44:00
3rd row	2012-06-01 13:44:00
4th row	2012-06-01 13:44:00
5th row	2012-06-01 13:44:00

Common Values

Value	Count	Frequency (%)
2018-09-04 00:32:00	234	3.5%
2014-08-13 13:03:00	208	3.1%
2015-06-26 19:38:00	136	2.0%
2012-06-11 21:30:00	117	1.7%
2018-12-07 10:50:00	96	1.4%
2018-11-28 19:43:00	90	1.3%
2015-09-23 14:00:00	90	1.3%
2013-04-13 18:00:00	88	1.3%
2017-11-30 08:37:00	78	1.2%
2013-12-16 21:48:00	78	1.2%
Other values (550)	5472	81.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-09-04	234	1.7%
00:32:00	234	1.7%
13:03:00	210	1.6%
2014-08-13	208	1.6%
12:30:00	173	1.3%
20:00:00	162	1.2%
19:00:00	161	1.2%
21:30:00	148	1.1%
14:00:00	148	1.1%
12:00:00	142	1.1%
Other values (731)	11554	86.4%

Most occurring characters

Value	Count	Frequency (%)
0	36128	28.4%
1	18525	14.6%
2	15161	11.9%
-	13374	10.5%
:	13374	10.5%
	6687	5.3%
3	5310	4.2%
4	3812	3.0%
5	3757	3.0%
8	3276	2.6%
Other values (3)	7649	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	93618	73.7%
Dash Punctuation	13374	10.5%
Other Punctuation	13374	10.5%
Space Separator	6687	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36128	38.6%
1	18525	19.8%
2	15161	16.2%
3	5310	5.7%
4	3812	4.1%
5	3757	4.0%
8	3276	3.5%
9	2868	3.1%
7	2496	2.7%
6	2285	2.4%

Dash Punctuation

Value	Count	Frequency (%)
-	13374	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	13374	100.0%

Space Separator

Value	Count	Frequency (%)
	6687	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127053	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36128	28.4%
1	18525	14.6%
2	15161	11.9%
-	13374	10.5%
:	13374	10.5%
	6687	5.3%
3	5310	4.2%
4	3812	3.0%
5	3757	3.0%
8	3276	2.6%
Other values (3)	7649	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127053	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36128	28.4%
1	18525	14.6%
2	15161	11.9%
-	13374	10.5%
:	13374	10.5%
	6687	5.3%
3	5310	4.2%
4	3812	3.0%
5	3757	3.0%
8	3276	2.6%
Other values (3)	7649	6.0%

ocorrencia_mes
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.696724989

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.369172732
Coefficient of variation (CV)	0.5031075246
Kurtosis	-1.104060526
Mean	6.696724989
Median Absolute Deviation (MAD)	3
Skewness	-0.07946093492
Sum	44781
Variance	11.3513249
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
8	767	11.5%
9	732	10.9%
6	729	10.9%
4	650	9.7%
12	629	9.4%
2	536	8.0%
11	525	7.9%
1	496	7.4%
7	445	6.7%
5	445	6.7%
Other values (2)	733	11.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	496	7.4%
2	536	8.0%
3	354	5.3%
4	650	9.7%
5	445	6.7%
6	729	10.9%
7	445	6.7%
8	767	11.5%
9	732	10.9%
10	379	5.7%

Value	Count	Frequency (%)
12	629	9.4%
11	525	7.9%
10	379	5.7%
9	732	10.9%
8	767	11.5%
7	445	6.7%
6	729	10.9%
5	445	6.7%
4	650	9.7%
3	354	5.3%

ocorrencia_tipo
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	58
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

PERDA DE CONTROLE EM VOO	1103
FALHA DO MOTOR EM VOO	620
PERDA DE CONTROLE NO SOLO	588
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	521
EXCURSÃO DE PISTA	420
Other values (53)	3435

Length

Max length	50
Median length	41
Mean length	23.46463287
Min length	6

Characters and Unicode

Total characters	156908
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	COM PESSOAL EM VOO
2nd row	COM PESSOAL EM VOO
3rd row	COM PESSOAL EM VOO
4th row	COM PESSOAL EM VOO
5th row	COM PESSOAL EM VOO

Common Values

Value	Count	Frequency (%)
PERDA DE CONTROLE EM VOO	1103	16.5%
FALHA DO MOTOR EM VOO	620	9.3%
PERDA DE CONTROLE NO SOLO	588	8.8%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	521	7.8%
EXCURSÃO DE PISTA	420	6.3%
PANE SECA	331	4.9%
OUTROS	305	4.6%
COLISÃO COM OBSTÁCULOS NO SOLO	277	4.1%
INCURSÃO EM PISTA	252	3.8%
OPERAÇÃO A BAIXA ALTITUDE	232	3.5%
Other values (48)	2038	30.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2735	9.5%
em	2211	7.7%
voo	2113	7.3%
perda	1729	6.0%
controle	1691	5.9%
com	1249	4.3%
pouso	1101	3.8%
no	946	3.3%
solo	946	3.3%
colisão	935	3.2%
Other values (97)	13183	45.7%

Most occurring characters

Value	Count	Frequency (%)
O	26016	16.6%
	22152	14.1%
E	15227	9.7%
A	10644	6.8%
S	7964	5.1%
R	7617	4.9%
C	7559	4.8%
T	7499	4.8%
D	6996	4.5%
L	6967	4.4%
Other values (27)	38267	24.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	134432	85.7%
Space Separator	22152	14.1%
Other Punctuation	295	0.2%
Open Punctuation	12	< 0.1%
Close Punctuation	12	< 0.1%
Dash Punctuation	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	26016	19.4%
E	15227	11.3%
A	10644	7.9%
S	7964	5.9%
R	7617	5.7%
C	7559	5.6%
T	7499	5.6%
D	6996	5.2%
L	6967	5.2%
N	6564	4.9%
Other values (22)	31379	23.3%

Space Separator

Value	Count	Frequency (%)
	22152	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	295	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	134432	85.7%
Common	22476	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	26016	19.4%
E	15227	11.3%
A	10644	7.9%
S	7964	5.9%
R	7617	5.7%
C	7559	5.6%
T	7499	5.6%
D	6996	5.2%
L	6967	5.2%
N	6564	4.9%
Other values (22)	31379	23.3%

Common

Value	Count	Frequency (%)
	22152	98.6%
/	295	1.3%
(	12	0.1%
)	12	0.1%
-	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	153034	97.5%
None	3874	2.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	26016	17.0%
	22152	14.5%
E	15227	10.0%
A	10644	7.0%
S	7964	5.2%
R	7617	5.0%
C	7559	4.9%
T	7499	4.9%
D	6996	4.6%
L	6967	4.6%
Other values (18)	34393	22.5%

None

Value	Count	Frequency (%)
Ã	1999	51.6%
Á	970	25.0%
Ç	381	9.8%
É	229	5.9%
Ó	111	2.9%
Ô	83	2.1%
Ê	60	1.5%
Í	27	0.7%
Õ	14	0.4%

ocorrencia_tipo_categoria
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	58
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

PERDA DE CONTROLE EM VOO	1103
FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	620
PERDA DE CONTROLE NO SOLO	588
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	521
EXCURSÃO DE PISTA	420
Other values (53)	3435

Length

Max length	94
Median length	72
Mean length	34.51577688
Min length	6

Characters and Unicode

Total characters	230807
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	OUTROS \| COM PESSOAL EM VOO
2nd row	OUTROS \| COM PESSOAL EM VOO
3rd row	OUTROS \| COM PESSOAL EM VOO
4th row	OUTROS \| COM PESSOAL EM VOO
5th row	OUTROS \| COM PESSOAL EM VOO

Common Values

Value	Count	Frequency (%)
PERDA DE CONTROLE EM VOO	1103	16.5%
FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	620	9.3%
PERDA DE CONTROLE NO SOLO	588	8.8%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	521	7.8%
EXCURSÃO DE PISTA	420	6.3%
COMBUSTÍVEL \| PANE SECA	331	4.9%
OUTROS	305	4.6%
COLISÃO NO SOLO \| COLISÃO COM OBSTÁCULOS NO SOLO	277	4.1%
INCURSÃO EM PISTA	252	3.8%
OPERAÇÃO A BAIXA ALTITUDE	232	3.5%
Other values (48)	2038	30.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	3398	8.0%
de	3393	8.0%
em	2427	5.7%
voo	2329	5.5%
perda	1945	4.6%
falha	1861	4.4%
controle	1691	4.0%
colisão	1428	3.3%
com	1383	3.2%
motor	1301	3.1%
Other values (97)	21487	50.4%

Most occurring characters

Value	Count	Frequency (%)
O	36126	15.7%
	35956	15.6%
E	18875	8.2%
A	16870	7.3%
T	11156	4.8%
S	10990	4.8%
M	10685	4.6%
N	10578	4.6%
C	10082	4.4%
R	9403	4.1%
Other values (28)	60086	26.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	191175	82.8%
Space Separator	35956	15.6%
Math Symbol	2633	1.1%
Other Punctuation	962	0.4%
Open Punctuation	38	< 0.1%
Close Punctuation	38	< 0.1%
Dash Punctuation	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	36126	18.9%
E	18875	9.9%
A	16870	8.8%
T	11156	5.8%
S	10990	5.7%
M	10685	5.6%
N	10578	5.5%
C	10082	5.3%
R	9403	4.9%
L	9300	4.9%
Other values (22)	47110	24.6%

Space Separator

Value	Count	Frequency (%)
	35956	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2633	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	962	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	38	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	38	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	191175	82.8%
Common	39632	17.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	36126	18.9%
E	18875	9.9%
A	16870	8.8%
T	11156	5.8%
S	10990	5.7%
M	10685	5.6%
N	10578	5.5%
C	10082	5.3%
R	9403	4.9%
L	9300	4.9%
Other values (22)	47110	24.6%

Common

Value	Count	Frequency (%)
	35956	90.7%
\|	2633	6.6%
/	962	2.4%
(	38	0.1%
)	38	0.1%
-	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	225229	97.6%
None	5578	2.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	36126	16.0%
	35956	16.0%
E	18875	8.4%
A	16870	7.5%
T	11156	5.0%
S	10990	4.9%
M	10685	4.7%
N	10578	4.7%
C	10082	4.5%
R	9403	4.2%
Other values (19)	54508	24.2%

None

Value	Count	Frequency (%)
Ã	2860	51.3%
Á	970	17.4%
Ç	623	11.2%
É	499	8.9%
Í	358	6.4%
Ó	111	2.0%
Ô	83	1.5%
Ê	60	1.1%
Õ	14	0.3%

taxonomia_tipo_icao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	27
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

LOC-I	1103
OTHR	700
SCF-PP	673
LOC-G	588
RE	572
Other values (22)	3051

Length

Max length	6
Median length	5
Mean length	4.308658591
Min length	2

Characters and Unicode

Total characters	28812
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OTHR
2nd row	OTHR
3rd row	OTHR
4th row	OTHR
5th row	OTHR

Common Values

Value	Count	Frequency (%)
LOC-I	1103	16.5%
OTHR	700	10.5%
SCF-PP	673	10.1%
LOC-G	588	8.8%
RE	572	8.6%
CTOL	521	7.8%
SCF-NP	515	7.7%
FUEL	349	5.2%
GCOL	277	4.1%
RI	252	3.8%
Other values (17)	1137	17.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
loc-i	1103	16.5%
othr	700	10.5%
scf-pp	673	10.1%
loc-g	588	8.8%
re	572	8.6%
ctol	521	7.8%
scf-np	515	7.7%
fuel	349	5.2%
gcol	277	4.1%
ri	252	3.8%
Other values (17)	1137	17.0%

Most occurring characters

Value	Count	Frequency (%)
C	4173	14.5%
L	3361	11.7%
O	3348	11.6%
-	2917	10.1%
P	1875	6.5%
R	1777	6.2%
F	1701	5.9%
T	1651	5.7%
I	1619	5.6%
S	1508	5.2%
Other values (14)	4882	16.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25867	89.8%
Dash Punctuation	2917	10.1%
Open Punctuation	14	< 0.1%
Close Punctuation	14	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	4173	16.1%
L	3361	13.0%
O	3348	12.9%
P	1875	7.2%
R	1777	6.9%
F	1701	6.6%
T	1651	6.4%
I	1619	6.3%
S	1508	5.8%
E	933	3.6%
Other values (11)	3921	15.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2917	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25867	89.8%
Common	2945	10.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	4173	16.1%
L	3361	13.0%
O	3348	12.9%
P	1875	7.2%
R	1777	6.9%
F	1701	6.6%
T	1651	6.4%
I	1619	6.3%
S	1508	5.8%
E	933	3.6%
Other values (11)	3921	15.2%

Common

Value	Count	Frequency (%)
-	2917	99.0%
[	14	0.5%
]	14	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28812	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	4173	14.5%
L	3361	11.7%
O	3348	11.6%
-	2917	10.1%
P	1875	6.5%
R	1777	6.2%
F	1701	5.9%
T	1651	5.7%
I	1619	5.6%
S	1508	5.2%
Other values (14)	4882	16.9%

aeronave_matricula
Categorical

HIGH CARDINALITY

Distinct	553
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

PRAFA	208
PREES	136
PTMFW	117
FAB2345	117
PRGTN	117
Other values (548)	5992

Length

Max length	7
Median length	5
Mean length	5.051144011
Min length	5

Characters and Unicode

Total characters	33777
Distinct characters	36
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	0.6%

Sample

1st row	PRTKB
2nd row	PRTKB
3rd row	PRTKB
4th row	PRTKB
5th row	PRTKB

Common Values

Value	Count	Frequency (%)
PRAFA	208	3.1%
PREES	136	2.0%
PTMFW	117	1.7%
FAB2345	117	1.7%
PRGTN	117	1.7%
PPELA	90	1.3%
YV2937	90	1.3%
CSTOF	88	1.3%
PRMBG	78	1.2%
PTCNL	78	1.2%
Other values (543)	5568	83.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prafa	208	3.1%
prees	136	2.0%
ptmfw	117	1.7%
fab2345	117	1.7%
prgtn	117	1.7%
ppela	90	1.3%
yv2937	90	1.3%
cstof	88	1.3%
prmbg	78	1.2%
ptcnl	78	1.2%
Other values (543)	5568	83.3%

Most occurring characters

Value	Count	Frequency (%)
P	7913	23.4%
T	3638	10.8%
R	3191	9.4%
A	1638	4.8%
F	1304	3.9%
E	1200	3.6%
G	1079	3.2%
U	1031	3.1%
L	992	2.9%
M	952	2.8%
Other values (26)	10839	32.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	32855	97.3%
Decimal Number	922	2.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	7913	24.1%
T	3638	11.1%
R	3191	9.7%
A	1638	5.0%
F	1304	4.0%
E	1200	3.7%
G	1079	3.3%
U	1031	3.1%
L	992	3.0%
M	952	2.9%
Other values (16)	9917	30.2%

Decimal Number

Value	Count	Frequency (%)
2	207	22.5%
3	207	22.5%
4	128	13.9%
5	120	13.0%
9	94	10.2%
7	91	9.9%
6	36	3.9%
0	20	2.2%
1	15	1.6%
8	4	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32855	97.3%
Common	922	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	7913	24.1%
T	3638	11.1%
R	3191	9.7%
A	1638	5.0%
F	1304	4.0%
E	1200	3.7%
G	1079	3.3%
U	1031	3.1%
L	992	3.0%
M	952	2.9%
Other values (16)	9917	30.2%

Common

Value	Count	Frequency (%)
2	207	22.5%
3	207	22.5%
4	128	13.9%
5	120	13.0%
9	94	10.2%
7	91	9.9%
6	36	3.9%
0	20	2.2%
1	15	1.6%
8	4	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	7913	23.4%
T	3638	10.8%
R	3191	9.4%
A	1638	4.8%
F	1304	3.9%
E	1200	3.6%
G	1079	3.2%
U	1031	3.1%
L	992	2.9%
M	952	2.8%
Other values (26)	10839	32.1%

aeronave_operador_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	23.1%
Missing	6674
Missing (%)	99.8%
Memory size	52.4 KiB

PARTICULAR	5
AGRÍCOLA	4
INSTRUÇÃO	4

Length

Max length	10
Median length	9
Mean length	9.076923077
Min length	8

Characters and Unicode

Total characters	118
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AGRÍCOLA
2nd row	AGRÍCOLA
3rd row	AGRÍCOLA
4th row	AGRÍCOLA
5th row	PARTICULAR

Common Values

Value	Count	Frequency (%)
PARTICULAR	5	0.1%
AGRÍCOLA	4	0.1%
INSTRUÇÃO	4	0.1%
(Missing)	6674	99.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
particular	5	38.5%
agrícola	4	30.8%
instrução	4	30.8%

Most occurring characters

Value	Count	Frequency (%)
A	18	15.3%
R	18	15.3%
T	9	7.6%
I	9	7.6%
C	9	7.6%
U	9	7.6%
L	9	7.6%
O	8	6.8%
P	5	4.2%
G	4	3.4%
Other values (5)	20	16.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	118	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	18	15.3%
R	18	15.3%
T	9	7.6%
I	9	7.6%
C	9	7.6%
U	9	7.6%
L	9	7.6%
O	8	6.8%
P	5	4.2%
G	4	3.4%
Other values (5)	20	16.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	118	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	18	15.3%
R	18	15.3%
T	9	7.6%
I	9	7.6%
C	9	7.6%
U	9	7.6%
L	9	7.6%
O	8	6.8%
P	5	4.2%
G	4	3.4%
Other values (5)	20	16.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	106	89.8%
None	12	10.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	18	17.0%
R	18	17.0%
T	9	8.5%
I	9	8.5%
C	9	8.5%
U	9	8.5%
L	9	8.5%
O	8	7.5%
P	5	4.7%
G	4	3.8%
Other values (2)	8	7.5%

None

Value	Count	Frequency (%)
Í	4	33.3%
Ç	4	33.3%
Ã	4	33.3%

aeronave_tipo_veiculo
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	38
Missing (%)	0.6%
Memory size	52.4 KiB

AVIÃO	4998
HELICÓPTERO	1449
ULTRALEVE	107
PLANADOR	74
ANFÍBIO	21

Length

Max length	11
Median length	5
Mean length	6.411640848
Min length	5

Characters and Unicode

Total characters	42631
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	AVIÃO
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	4998	74.7%
HELICÓPTERO	1449	21.7%
ULTRALEVE	107	1.6%
PLANADOR	74	1.1%
ANFÍBIO	21	0.3%
(Missing)	38	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
avião	4998	75.2%
helicóptero	1449	21.8%
ultraleve	107	1.6%
planador	74	1.1%
anfíbio	21	0.3%

Most occurring characters

Value	Count	Frequency (%)
O	6542	15.3%
I	6468	15.2%
A	5274	12.4%
V	5105	12.0%
Ã	4998	11.7%
E	3112	7.3%
L	1737	4.1%
R	1630	3.8%
T	1556	3.6%
P	1523	3.6%
Other values (9)	4686	11.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	42631	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	6542	15.3%
I	6468	15.2%
A	5274	12.4%
V	5105	12.0%
Ã	4998	11.7%
E	3112	7.3%
L	1737	4.1%
R	1630	3.8%
T	1556	3.6%
P	1523	3.6%
Other values (9)	4686	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42631	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	6542	15.3%
I	6468	15.2%
A	5274	12.4%
V	5105	12.0%
Ã	4998	11.7%
E	3112	7.3%
L	1737	4.1%
R	1630	3.8%
T	1556	3.6%
P	1523	3.6%
Other values (9)	4686	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36163	84.8%
None	6468	15.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	6542	18.1%
I	6468	17.9%
A	5274	14.6%
V	5105	14.1%
E	3112	8.6%
L	1737	4.8%
R	1630	4.5%
T	1556	4.3%
P	1523	4.2%
C	1449	4.0%
Other values (6)	1767	4.9%

None

Value	Count	Frequency (%)
Ã	4998	77.3%
Ó	1449	22.4%
Í	21	0.3%

aeronave_fabricante
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	0.7%
Missing	61
Missing (%)	0.9%
Memory size	52.4 KiB

CESSNA AIRCRAFT	1466
NEIVA INDUSTRIA AERONAUTICA	809
PIPER AIRCRAFT	505
EMBRAER	482
BELL HELICOPTER	372
Other values (40)	2992

Length

Max length	35
Median length	31
Mean length	16.00120736
Min length	3

Characters and Unicode

Total characters	106024
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AEROSPATIALE AND ALENIA
2nd row	AEROSPATIALE AND ALENIA
3rd row	AEROSPATIALE AND ALENIA
4th row	AEROSPATIALE AND ALENIA
5th row	AEROSPATIALE AND ALENIA

Common Values

Value	Count	Frequency (%)
CESSNA AIRCRAFT	1466	21.9%
NEIVA INDUSTRIA AERONAUTICA	809	12.1%
PIPER AIRCRAFT	505	7.6%
EMBRAER	482	7.2%
BELL HELICOPTER	372	5.6%
BOEING COMPANY	368	5.5%
EUROCOPTER FRANCE	337	5.0%
AIRBUS INDUSTRIE	300	4.5%
BEECH AIRCRAFT	273	4.1%
AERO BOERO	236	3.5%
Other values (35)	1478	22.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aircraft	2332	17.2%
cessna	1466	10.8%
aeronautica	851	6.3%
industria	850	6.3%
neiva	809	6.0%
helicopter	677	5.0%
piper	505	3.7%
eurocopter	496	3.7%
embraer	482	3.5%
bell	372	2.7%
Other values (61)	4748	34.9%

Most occurring characters

Value	Count	Frequency (%)
A	14529	13.7%
R	12793	12.1%
E	10765	10.2%
I	9537	9.0%
C	7315	6.9%
	6966	6.6%
N	6783	6.4%
T	6718	6.3%
S	5562	5.2%
O	5028	4.7%
Other values (18)	20028	18.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	98999	93.4%
Space Separator	6966	6.6%
Dash Punctuation	59	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	14529	14.7%
R	12793	12.9%
E	10765	10.9%
I	9537	9.6%
C	7315	7.4%
N	6783	6.9%
T	6718	6.8%
S	5562	5.6%
O	5028	5.1%
U	3197	3.2%
Other values (16)	16772	16.9%

Space Separator

Value	Count	Frequency (%)
	6966	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98999	93.4%
Common	7025	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	14529	14.7%
R	12793	12.9%
E	10765	10.9%
I	9537	9.6%
C	7315	7.4%
N	6783	6.9%
T	6718	6.8%
S	5562	5.6%
O	5028	5.1%
U	3197	3.2%
Other values (16)	16772	16.9%

Common

Value	Count	Frequency (%)
	6966	99.2%
-	59	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	105957	99.9%
None	67	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	14529	13.7%
R	12793	12.1%
E	10765	10.2%
I	9537	9.0%
C	7315	6.9%
	6966	6.6%
N	6783	6.4%
T	6718	6.3%
S	5562	5.2%
O	5028	4.7%
Other values (16)	19961	18.8%

None

Value	Count	Frequency (%)
Ú	64	95.5%
Á	3	4.5%

aeronave_modelo
Categorical

HIGH CARDINALITY

Distinct	204
Distinct (%)	3.1%
Missing	34
Missing (%)	0.5%
Memory size	52.4 KiB

737-8EH	222
560XLS+	208
AB-115	206
AS 350 B2	205
EMB-202	197
Other values (199)	5615

Length

Max length	15
Median length	12
Mean length	6.752442507
Min length	2

Characters and Unicode

Total characters	44924
Distinct characters	41
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.2%

Sample

1st row	ATR-42-500
2nd row	ATR-42-500
3rd row	ATR-42-500
4th row	ATR-42-500
5th row	ATR-42-500

Common Values

Value	Count	Frequency (%)
737-8EH	222	3.3%
560XLS+	208	3.1%
AB-115	206	3.1%
AS 350 B2	205	3.1%
EMB-202	197	2.9%
EMB-201A	192	2.9%
AT-502B	163	2.4%
AS 350 BA	155	2.3%
BK117 C-2	136	2.0%
EMB-202A	123	1.8%
Other values (194)	4846	72.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
as	404	4.8%
350	364	4.4%
737-8eh	222	2.7%
560xls	208	2.5%
ab-115	206	2.5%
b2	205	2.5%
emb-202	197	2.4%
emb-201a	192	2.3%
at-502b	163	2.0%
r44	162	1.9%
Other values (217)	6034	72.2%

Most occurring characters

Value	Count	Frequency (%)
2	5058	11.3%
-	4207	9.4%
0	3975	8.8%
1	3380	7.5%
A	3375	7.5%
B	2770	6.2%
5	2624	5.8%
3	2021	4.5%
E	1733	3.9%
	1704	3.8%
Other values (31)	14077	31.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22107	49.2%
Uppercase Letter	16626	37.0%
Dash Punctuation	4207	9.4%
Space Separator	1704	3.8%
Math Symbol	208	0.5%
Open Punctuation	36	0.1%
Close Punctuation	36	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	3375	20.3%
B	2770	16.7%
E	1733	10.4%
M	1409	8.5%
C	1031	6.2%
S	840	5.1%
T	811	4.9%
R	763	4.6%
P	746	4.5%
L	598	3.6%
Other values (16)	2550	15.3%

Decimal Number

Value	Count	Frequency (%)
2	5058	22.9%
0	3975	18.0%
1	3380	15.3%
5	2624	11.9%
3	2021	9.1%
7	1653	7.5%
8	1306	5.9%
6	914	4.1%
4	850	3.8%
9	326	1.5%

Dash Punctuation

Value	Count	Frequency (%)
-	4207	100.0%

Space Separator

Value	Count	Frequency (%)
	1704	100.0%

Math Symbol

Value	Count	Frequency (%)
+	208	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	36	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	28298	63.0%
Latin	16626	37.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	3375	20.3%
B	2770	16.7%
E	1733	10.4%
M	1409	8.5%
C	1031	6.2%
S	840	5.1%
T	811	4.9%
R	763	4.6%
P	746	4.5%
L	598	3.6%
Other values (16)	2550	15.3%

Common

Value	Count	Frequency (%)
2	5058	17.9%
-	4207	14.9%
0	3975	14.0%
1	3380	11.9%
5	2624	9.3%
3	2021	7.1%
	1704	6.0%
7	1653	5.8%
8	1306	4.6%
6	914	3.2%
Other values (5)	1456	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44924	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	5058	11.3%
-	4207	9.4%
0	3975	8.8%
1	3380	7.5%
A	3375	7.5%
B	2770	6.2%
5	2624	5.8%
3	2021	4.5%
E	1733	3.9%
	1704	3.8%
Other values (31)	14077	31.3%

aeronave_tipo_icao
Categorical

HIGH CARDINALITY

Distinct	113
Distinct (%)	1.7%
Missing	57
Missing (%)	0.9%
Memory size	52.4 KiB

IPAN	540
AS50	382
B06	270
B738	222
C56X	208
Other values (108)	5008

Length

Max length	4
Median length	4
Mean length	3.904374057
Min length	2

Characters and Unicode

Total characters	25886
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	AT45
2nd row	AT45
3rd row	AT45
4th row	AT45
5th row	AT45

Common Values

Value	Count	Frequency (%)
IPAN	540	8.1%
AS50	382	5.7%
B06	270	4.0%
B738	222	3.3%
C56X	208	3.1%
AB11	206	3.1%
C172	199	3.0%
C208	180	2.7%
A320	178	2.7%
AT5T	163	2.4%
Other values (103)	4082	61.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ipan	540	8.1%
as50	382	5.8%
b06	270	4.1%
b738	222	3.3%
c56x	208	3.1%
ab11	206	3.1%
c172	199	3.0%
c208	180	2.7%
a320	178	2.7%
at5t	163	2.5%
Other values (103)	4082	61.6%

Most occurring characters

Value	Count	Frequency (%)
A	2854	11.0%
2	2272	8.8%
5	2016	7.8%
0	1926	7.4%
C	1819	7.0%
P	1755	6.8%
1	1688	6.5%
B	1408	5.4%
8	1258	4.9%
3	1160	4.5%
Other values (24)	7730	29.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13027	50.3%
Uppercase Letter	12859	49.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	2854	22.2%
C	1819	14.1%
P	1755	13.6%
B	1408	10.9%
E	827	6.4%
I	687	5.3%
T	685	5.3%
N	596	4.6%
S	459	3.6%
R	405	3.1%
Other values (14)	1364	10.6%

Decimal Number

Value	Count	Frequency (%)
2	2272	17.4%
5	2016	15.5%
0	1926	14.8%
1	1688	13.0%
8	1258	9.7%
3	1160	8.9%
4	919	7.1%
7	865	6.6%
6	763	5.9%
9	160	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	13027	50.3%
Latin	12859	49.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	2854	22.2%
C	1819	14.1%
P	1755	13.6%
B	1408	10.9%
E	827	6.4%
I	687	5.3%
T	685	5.3%
N	596	4.6%
S	459	3.6%
R	405	3.1%
Other values (14)	1364	10.6%

Common

Value	Count	Frequency (%)
2	2272	17.4%
5	2016	15.5%
0	1926	14.8%
1	1688	13.0%
8	1258	9.7%
3	1160	8.9%
4	919	7.1%
7	865	6.6%
6	763	5.9%
9	160	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	2854	11.0%
2	2272	8.8%
5	2016	7.8%
0	1926	7.4%
C	1819	7.0%
P	1755	6.8%
1	1688	6.5%
B	1408	5.4%
8	1258	4.9%
3	1160	4.5%
Other values (24)	7730	29.9%

aeronave_motor_tipo
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	51
Missing (%)	0.8%
Memory size	52.4 KiB

PISTÃO	3091
TURBOEIXO	1260
JATO	1209
TURBOÉLICE	1002
SEM TRAÇÃO	74

Length

Max length	10
Median length	9
Mean length	6.853827607
Min length	4

Characters and Unicode

Total characters	45482
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TURBOÉLICE
2nd row	TURBOÉLICE
3rd row	TURBOÉLICE
4th row	TURBOÉLICE
5th row	TURBOÉLICE

Common Values

Value	Count	Frequency (%)
PISTÃO	3091	46.2%
TURBOEIXO	1260	18.8%
JATO	1209	18.1%
TURBOÉLICE	1002	15.0%
SEM TRAÇÃO	74	1.1%
(Missing)	51	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
pistão	3091	46.1%
turboeixo	1260	18.8%
jato	1209	18.0%
turboélice	1002	14.9%
sem	74	1.1%
tração	74	1.1%

Most occurring characters

Value	Count	Frequency (%)
O	7896	17.4%
T	6636	14.6%
I	5353	11.8%
S	3165	7.0%
Ã	3165	7.0%
P	3091	6.8%
R	2336	5.1%
E	2336	5.1%
B	2262	5.0%
U	2262	5.0%
Other values (9)	6980	15.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	45408	99.8%
Space Separator	74	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	7896	17.4%
T	6636	14.6%
I	5353	11.8%
S	3165	7.0%
Ã	3165	7.0%
P	3091	6.8%
R	2336	5.1%
E	2336	5.1%
B	2262	5.0%
U	2262	5.0%
Other values (8)	6906	15.2%

Space Separator

Value	Count	Frequency (%)
	74	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45408	99.8%
Common	74	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	7896	17.4%
T	6636	14.6%
I	5353	11.8%
S	3165	7.0%
Ã	3165	7.0%
P	3091	6.8%
R	2336	5.1%
E	2336	5.1%
B	2262	5.0%
U	2262	5.0%
Other values (8)	6906	15.2%

Common

Value	Count	Frequency (%)
	74	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41241	90.7%
None	4241	9.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	7896	19.1%
T	6636	16.1%
I	5353	13.0%
S	3165	7.7%
P	3091	7.5%
R	2336	5.7%
E	2336	5.7%
B	2262	5.5%
U	2262	5.5%
A	1283	3.1%
Other values (6)	4621	11.2%

None

Value	Count	Frequency (%)
Ã	3165	74.6%
É	1002	23.6%
Ç	74	1.7%

aeronave_motor_quantidade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	21
Missing (%)	0.3%
Memory size	52.4 KiB

MONOMOTOR	3910
BIMOTOR	2649
SEM TRAÇÃO	107

Length

Max length	10
Median length	9
Mean length	8.221272127
Min length	7

Characters and Unicode

Total characters	54803
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BIMOTOR
2nd row	BIMOTOR
3rd row	BIMOTOR
4th row	BIMOTOR
5th row	BIMOTOR

Common Values

Value	Count	Frequency (%)
MONOMOTOR	3910	58.5%
BIMOTOR	2649	39.6%
SEM TRAÇÃO	107	1.6%
(Missing)	21	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
monomotor	3910	57.7%
bimotor	2649	39.1%
sem	107	1.6%
tração	107	1.6%

Most occurring characters

Value	Count	Frequency (%)
O	21045	38.4%
M	10576	19.3%
T	6666	12.2%
R	6666	12.2%
N	3910	7.1%
B	2649	4.8%
I	2649	4.8%
S	107	0.2%
E	107	0.2%
	107	0.2%
Other values (3)	321	0.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	54696	99.8%
Space Separator	107	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	21045	38.5%
M	10576	19.3%
T	6666	12.2%
R	6666	12.2%
N	3910	7.1%
B	2649	4.8%
I	2649	4.8%
S	107	0.2%
E	107	0.2%
A	107	0.2%
Other values (2)	214	0.4%

Space Separator

Value	Count	Frequency (%)
	107	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	54696	99.8%
Common	107	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	21045	38.5%
M	10576	19.3%
T	6666	12.2%
R	6666	12.2%
N	3910	7.1%
B	2649	4.8%
I	2649	4.8%
S	107	0.2%
E	107	0.2%
A	107	0.2%
Other values (2)	214	0.4%

Common

Value	Count	Frequency (%)
	107	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54589	99.6%
None	214	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	21045	38.6%
M	10576	19.4%
T	6666	12.2%
R	6666	12.2%
N	3910	7.2%
B	2649	4.9%
I	2649	4.9%
S	107	0.2%
E	107	0.2%
	107	0.2%

None

Value	Count	Frequency (%)
Ç	107	50.0%
Ã	107	50.0%

aeronave_pmd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	150
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14482.44235

Minimum	0
Maximum	346544
Zeros	54
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	0
5-th percentile	660
Q1	1315
median	2100
Q3	4750
95-th percentile	70533
Maximum	346544
Range	346544
Interquartile range (IQR)	3435

Descriptive statistics

Standard deviation	42787.91928
Coefficient of variation (CV)	2.954468469
Kurtosis	30.35580511
Mean	14482.44235
Median Absolute Deviation (MAD)	1330
Skewness	5.17573369
Sum	96844092
Variance	1830806036
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	536	8.0%
3629	333	5.0%
70533	222	3.3%
2250	209	3.1%
9163	208	3.1%
770	206	3.1%
1633	183	2.7%
2100	155	2.3%
1134	154	2.3%
1315	150	2.2%
Other values (140)	4331	64.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	54	0.8%
280	4	0.1%
390	4	0.1%
397	2	< 0.1%
430	18	0.3%
450	3	< 0.1%
520	8	0.1%
550	10	0.1%
562	2	< 0.1%
565	60	0.9%

Value	Count	Frequency (%)
346544	41	0.6%
237000	4	0.1%
230000	108	1.6%
89000	10	0.1%
78000	24	0.4%
77000	66	1.0%
75500	78	1.2%
70533	222	3.3%
70000	10	0.1%
68038	12	0.2%

aeronave_pmd_categoria
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	150
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14482.44235

Minimum	0
Maximum	346544
Zeros	54
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	0
5-th percentile	660
Q1	1315
median	2100
Q3	4750
95-th percentile	70533
Maximum	346544
Range	346544
Interquartile range (IQR)	3435

Descriptive statistics

Standard deviation	42787.91928
Coefficient of variation (CV)	2.954468469
Kurtosis	30.35580511
Mean	14482.44235
Median Absolute Deviation (MAD)	1330
Skewness	5.17573369
Sum	96844092
Variance	1830806036
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	536	8.0%
3629	333	5.0%
70533	222	3.3%
2250	209	3.1%
9163	208	3.1%
770	206	3.1%
1633	183	2.7%
2100	155	2.3%
1134	154	2.3%
1315	150	2.2%
Other values (140)	4331	64.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	54	0.8%
280	4	0.1%
390	4	0.1%
397	2	< 0.1%
430	18	0.3%
450	3	< 0.1%
520	8	0.1%
550	10	0.1%
562	2	< 0.1%
565	60	0.9%

Value	Count	Frequency (%)
346544	41	0.6%
237000	4	0.1%
230000	108	1.6%
89000	10	0.1%
78000	24	0.4%
77000	66	1.0%
75500	78	1.2%
70533	222	3.3%
70000	10	0.1%
68038	12	0.2%

aeronave_assentos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	31
Distinct (%)	0.5%
Missing	46
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	22.53064298

Minimum	0
Maximum	384
Zeros	305
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	6
Q3	9
95-th percentile	183
Maximum	384
Range	384
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	55.42967434
Coefficient of variation (CV)	2.460190524
Kurtosis	14.02336478
Mean	22.53064298
Median Absolute Deviation (MAD)	4
Skewness	3.585070067
Sum	149626
Variance	3072.448797
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
6	1031	15.4%
1	1021	15.3%
2	757	11.3%
4	665	9.9%
7	583	8.7%
10	329	4.9%
0	305	4.6%
14	236	3.5%
8	235	3.5%
5	200	3.0%
Other values (21)	1279	19.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	305	4.6%
1	1021	15.3%
2	757	11.3%
3	111	1.7%
4	665	9.9%
5	200	3.0%
6	1031	15.4%
7	583	8.7%
8	235	3.5%
9	146	2.2%

Value	Count	Frequency (%)
384	41	0.6%
240	20	0.3%
232	10	0.1%
197	138	2.1%
193	60	0.9%
184	46	0.7%
183	30	0.4%
182	78	1.2%
172	24	0.4%
125	25	0.4%

aeronave_ano_fabricacao
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	66
Distinct (%)	1.0%
Missing	328
Missing (%)	4.9%
Infinite	0
Infinite (%)	0.0%
Mean	1991.929706

Minimum	1945
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	1945
5-th percentile	1964
Q1	1979
median	1993
Q3	2007
95-th percentile	2013
Maximum	2018
Range	73
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	15.64804176
Coefficient of variation (CV)	0.007855719863
Kurtosis	-0.532472147
Mean	1991.929706
Median Absolute Deviation (MAD)	14
Skewness	-0.4415478392
Sum	12666681
Variance	244.8612108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2010	455	6.8%
2001	245	3.7%
1979	237	3.5%
1983	232	3.5%
2007	223	3.3%
2013	221	3.3%
2012	215	3.2%
1974	193	2.9%
1992	190	2.8%
1991	184	2.8%
Other values (56)	3964	59.3%
(Missing)	328	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945	2	< 0.1%
1946	26	0.4%
1947	2	< 0.1%
1948	2	< 0.1%
1950	10	0.1%
1951	50	0.7%
1953	28	0.4%
1955	10	0.1%
1960	83	1.2%
1961	30	0.4%

Value	Count	Frequency (%)
2018	14	0.2%
2017	12	0.2%
2016	35	0.5%
2015	40	0.6%
2014	34	0.5%
2013	221	3.3%
2012	215	3.2%
2011	127	1.9%
2010	455	6.8%
2009	114	1.7%

aeronave_registro_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	38
Missing (%)	0.6%
Memory size	52.4 KiB

AVIÃO	4998
HELICÓPTERO	1449
ULTRALEVE	107
PLANADOR	74
ANFÍBIO	21

Length

Max length	11
Median length	5
Mean length	6.411640848
Min length	5

Characters and Unicode

Total characters	42631
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	AVIÃO
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	4998	74.7%
HELICÓPTERO	1449	21.7%
ULTRALEVE	107	1.6%
PLANADOR	74	1.1%
ANFÍBIO	21	0.3%
(Missing)	38	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
avião	4998	75.2%
helicóptero	1449	21.8%
ultraleve	107	1.6%
planador	74	1.1%
anfíbio	21	0.3%

Most occurring characters

Value	Count	Frequency (%)
O	6542	15.3%
I	6468	15.2%
A	5274	12.4%
V	5105	12.0%
Ã	4998	11.7%
E	3112	7.3%
L	1737	4.1%
R	1630	3.8%
T	1556	3.6%
P	1523	3.6%
Other values (9)	4686	11.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	42631	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	6542	15.3%
I	6468	15.2%
A	5274	12.4%
V	5105	12.0%
Ã	4998	11.7%
E	3112	7.3%
L	1737	4.1%
R	1630	3.8%
T	1556	3.6%
P	1523	3.6%
Other values (9)	4686	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42631	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	6542	15.3%
I	6468	15.2%
A	5274	12.4%
V	5105	12.0%
Ã	4998	11.7%
E	3112	7.3%
L	1737	4.1%
R	1630	3.8%
T	1556	3.6%
P	1523	3.6%
Other values (9)	4686	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36163	84.8%
None	6468	15.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	6542	18.1%
I	6468	17.9%
A	5274	14.6%
V	5105	14.1%
E	3112	8.6%
L	1737	4.8%
R	1630	4.5%
T	1556	4.3%
P	1523	4.2%
C	1449	4.0%
Other values (6)	1767	4.9%

None

Value	Count	Frequency (%)
Ã	4998	77.3%
Ó	1449	22.4%
Í	21	0.3%

aeronave_registro_segmento
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	0.2%
Missing	153
Missing (%)	2.3%
Memory size	52.4 KiB

PARTICULAR	1892
INSTRUÇÃO	1040
TÁXI AÉREO	848
REGULAR	818
AGRÍCOLA	687
Other values (6)	1249

Length

Max length	22
Median length	20
Mean length	10.56504438
Min length	7

Characters and Unicode

Total characters	69032
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	REGULAR
2nd row	REGULAR
3rd row	REGULAR
4th row	REGULAR
5th row	REGULAR

Common Values

Value	Count	Frequency (%)
PARTICULAR	1892	28.3%
INSTRUÇÃO	1040	15.6%
TÁXI AÉREO	848	12.7%
REGULAR	818	12.2%
AGRÍCOLA	687	10.3%
ADMINISTRAÇÃO DIRETA	663	9.9%
ESPECIALIZADA	241	3.6%
EXPERIMENTAL	127	1.9%
MÚLTIPLA	107	1.6%
ADMINISTRAÇÃO INDIRETA	96	1.4%
(Missing)	153	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
particular	1892	23.2%
instrução	1040	12.8%
táxi	848	10.4%
aéreo	848	10.4%
regular	833	10.2%
administração	759	9.3%
agrícola	687	8.4%
direta	663	8.1%
especializada	241	3.0%
experimental	127	1.6%
Other values (3)	218	2.7%

Most occurring characters

Value	Count	Frequency (%)
A	10073	14.6%
R	9670	14.0%
I	6869	10.0%
T	5532	8.0%
L	3994	5.8%
U	3765	5.5%
O	3349	4.9%
E	3303	4.8%
C	2820	4.1%
P	2367	3.4%
Other values (14)	17290	25.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	67410	97.7%
Space Separator	1622	2.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	10073	14.9%
R	9670	14.3%
I	6869	10.2%
T	5532	8.2%
L	3994	5.9%
U	3765	5.6%
O	3349	5.0%
E	3303	4.9%
C	2820	4.2%
P	2367	3.5%
Other values (13)	15668	23.2%

Space Separator

Value	Count	Frequency (%)
	1622	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67410	97.7%
Common	1622	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	10073	14.9%
R	9670	14.3%
I	6869	10.2%
T	5532	8.2%
L	3994	5.9%
U	3765	5.6%
O	3349	5.0%
E	3303	4.9%
C	2820	4.2%
P	2367	3.5%
Other values (13)	15668	23.2%

Common

Value	Count	Frequency (%)
	1622	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62929	91.2%
None	6103	8.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	10073	16.0%
R	9670	15.4%
I	6869	10.9%
T	5532	8.8%
L	3994	6.3%
U	3765	6.0%
O	3349	5.3%
E	3303	5.2%
C	2820	4.5%
P	2367	3.8%
Other values (8)	11187	17.8%

None

Value	Count	Frequency (%)
Ã	1814	29.7%
Ç	1799	29.5%
Á	848	13.9%
É	848	13.9%
Í	687	11.3%
Ú	107	1.8%

aeronave_voo_origem
Categorical

HIGH CARDINALITY
MISSING

Distinct	218
Distinct (%)	3.3%
Missing	68
Missing (%)	1.0%
Memory size	52.4 KiB

FORA DE AERODROMO	1718
PRESIDENTE JUSCELINO KUBITSCHEK	343
SANTOS DUMONT	269
PINTO MARTINS	156
VAL DE CANS / JÚLIO CEZAR RIBEIRO	124
Other values (213)	4009

Length

Max length	40
Median length	34
Mean length	17.73576069
Min length	3

Characters and Unicode

Total characters	117393
Distinct characters	56
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	0.3%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	1718	25.7%
PRESIDENTE JUSCELINO KUBITSCHEK	343	5.1%
SANTOS DUMONT	269	4.0%
PINTO MARTINS	156	2.3%
VAL DE CANS / JÚLIO CEZAR RIBEIRO	124	1.9%
FLORES	118	1.8%
BASE AÉREA DE SANTA CRUZ	117	1.7%
SÃO PEDRO	117	1.7%
ZUMBI DOS PALMARES	111	1.7%
AEROCLUBE DE ITÁPOLIS	109	1.6%
Other values (208)	3437	51.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2528	14.0%
fora	1718	9.5%
aerodromo	1718	9.5%
presidente	357	2.0%
juscelino	343	1.9%
kubitschek	343	1.9%
	312	1.7%
santos	269	1.5%
dumont	269	1.5%
santa	186	1.0%
Other values (358)	10036	55.5%

Most occurring characters

Value	Count	Frequency (%)
O	14351	12.2%
A	12852	10.9%
R	11914	10.1%
	11476	9.8%
E	11292	9.6%
D	6957	5.9%
S	5695	4.9%
I	5424	4.6%
N	4620	3.9%
T	4329	3.7%
Other values (46)	28483	24.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	105308	89.7%
Space Separator	11476	9.8%
Other Punctuation	254	0.2%
Lowercase Letter	196	0.2%
Dash Punctuation	155	0.1%
Decimal Number	2	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	14351	13.6%
A	12852	12.2%
R	11914	11.3%
E	11292	10.7%
D	6957	6.6%
S	5695	5.4%
I	5424	5.2%
N	4620	4.4%
T	4329	4.1%
L	3878	3.7%
Other values (26)	23996	22.8%

Lowercase Letter

Value	Count	Frequency (%)
c	28	14.3%
r	28	14.3%
o	28	14.3%
i	14	7.1%
s	14	7.1%
n	14	7.1%
e	14	7.1%
l	14	7.1%
t	14	7.1%
ã	14	7.1%

Other Punctuation

Value	Count	Frequency (%)
/	253	99.6%
*	1	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	151	97.4%
–	4	2.6%

Decimal Number

Value	Count	Frequency (%)
1	1	50.0%
4	1	50.0%

Space Separator

Value	Count	Frequency (%)
	11476	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	105504	89.9%
Common	11889	10.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	14351	13.6%
A	12852	12.2%
R	11914	11.3%
E	11292	10.7%
D	6957	6.6%
S	5695	5.4%
I	5424	5.1%
N	4620	4.4%
T	4329	4.1%
L	3878	3.7%
Other values (37)	24192	22.9%

Common

Value	Count	Frequency (%)
	11476	96.5%
/	253	2.1%
-	151	1.3%
–	4	< 0.1%
1	1	< 0.1%
4	1	< 0.1%
(	1	< 0.1%
*	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115296	98.2%
None	2093	1.8%
Punctuation	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	14351	12.4%
A	12852	11.1%
R	11914	10.3%
	11476	10.0%
E	11292	9.8%
D	6957	6.0%
S	5695	4.9%
I	5424	4.7%
N	4620	4.0%
T	4329	3.8%
Other values (34)	26386	22.9%

None

Value	Count	Frequency (%)
Í	415	19.8%
Á	369	17.6%
Ã	362	17.3%
É	225	10.8%
Ó	200	9.6%
Ú	170	8.1%
Ô	138	6.6%
Â	120	5.7%
Ç	56	2.7%
Ê	24	1.1%

Punctuation

Value	Count	Frequency (%)
–	4	100.0%

aeronave_voo_destino
Categorical

HIGH CARDINALITY

Distinct	223
Distinct (%)	3.4%
Missing	60
Missing (%)	0.9%
Memory size	52.4 KiB

FORA DE AERODROMO	2043
BASE AÉREA DE SANTOS	208
PRESIDENTE JUSCELINO KUBITSCHEK	197
BACACHERI	148
EDUARDO GOMES	147
Other values (218)	3884

Length

Max length	46
Median length	36
Mean length	17.11800211
Min length	4

Characters and Unicode

Total characters	113441
Distinct characters	45
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	0.2%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	2043	30.6%
BASE AÉREA DE SANTOS	208	3.1%
PRESIDENTE JUSCELINO KUBITSCHEK	197	2.9%
BACACHERI	148	2.2%
EDUARDO GOMES	147	2.2%
AEROCLUBE DE ITÁPOLIS	121	1.8%
MARECHAL CUNHA MACHADO	120	1.8%
ZUMBI DOS PALMARES	112	1.7%
VAL DE CANS / JÚLIO CEZAR RIBEIRO	99	1.5%
RONDONÓPOLIS	95	1.4%
Other values (213)	3337	49.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2910	16.4%
aerodromo	2053	11.6%
fora	2043	11.5%
	300	1.7%
santos	240	1.4%
aeroclube	221	1.2%
presidente	214	1.2%
base	208	1.2%
aérea	208	1.2%
juscelino	197	1.1%
Other values (368)	9146	51.6%

Most occurring characters

Value	Count	Frequency (%)
O	15356	13.5%
A	13973	12.3%
R	12378	10.9%
E	11592	10.2%
	11172	9.8%
D	7573	6.7%
I	4289	3.8%
S	4218	3.7%
M	3933	3.5%
N	3659	3.2%
Other values (35)	25298	22.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	101909	89.8%
Space Separator	11172	9.8%
Other Punctuation	211	0.2%
Dash Punctuation	137	0.1%
Decimal Number	6	< 0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	15356	15.1%
A	13973	13.7%
R	12378	12.1%
E	11592	11.4%
D	7573	7.4%
I	4289	4.2%
S	4218	4.1%
M	3933	3.9%
N	3659	3.6%
L	3231	3.2%
Other values (26)	21707	21.3%

Other Punctuation

Value	Count	Frequency (%)
/	205	97.2%
'	3	1.4%
*	3	1.4%

Decimal Number

Value	Count	Frequency (%)
1	3	50.0%
4	3	50.0%

Space Separator

Value	Count	Frequency (%)
	11172	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	137	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101909	89.8%
Common	11532	10.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	15356	15.1%
A	13973	13.7%
R	12378	12.1%
E	11592	11.4%
D	7573	7.4%
I	4289	4.2%
S	4218	4.1%
M	3933	3.9%
N	3659	3.6%
L	3231	3.2%
Other values (26)	21707	21.3%

Common

Value	Count	Frequency (%)
	11172	96.9%
/	205	1.8%
-	137	1.2%
1	3	< 0.1%
4	3	< 0.1%
'	3	< 0.1%
(	3	< 0.1%
*	3	< 0.1%
)	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	111664	98.4%
None	1777	1.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	15356	13.8%
A	13973	12.5%
R	12378	11.1%
E	11592	10.4%
	11172	10.0%
D	7573	6.8%
I	4289	3.8%
S	4218	3.8%
M	3933	3.5%
N	3659	3.3%
Other values (25)	23521	21.1%

None

Value	Count	Frequency (%)
Ã	381	21.4%
É	361	20.3%
Á	358	20.1%
Ó	228	12.8%
Ú	109	6.1%
Í	102	5.7%
Ç	95	5.3%
Ô	93	5.2%
Â	46	2.6%
Ê	4	0.2%

aeronave_fase_operacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	23
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

DECOLAGEM	1250
POUSO	1001
CRUZEIRO	846
CORRIDA APÓS POUSO	618
APROXIMAÇÃO FINAL	525
Other values (18)	2447

Length

Max length	31
Median length	17
Mean length	10.49798116
Min length	4

Characters and Unicode

Total characters	70200
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DESCIDA
2nd row	DESCIDA
3rd row	DESCIDA
4th row	DESCIDA
5th row	DESCIDA

Common Values

Value	Count	Frequency (%)
DECOLAGEM	1250	18.7%
POUSO	1001	15.0%
CRUZEIRO	846	12.7%
CORRIDA APÓS POUSO	618	9.2%
APROXIMAÇÃO FINAL	525	7.9%
MANOBRA	404	6.0%
CIRCUITO DE TRÁFEGO	324	4.8%
ESPECIALIZADA	245	3.7%
SUBIDA	210	3.1%
PAIRADO	210	3.1%
Other values (13)	1054	15.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pouso	1619	16.2%
decolagem	1287	12.9%
cruzeiro	846	8.5%
corrida	618	6.2%
após	618	6.2%
final	530	5.3%
aproximação	529	5.3%
manobra	404	4.0%
de	351	3.5%
circuito	324	3.2%
Other values (26)	2865	28.7%

Most occurring characters

Value	Count	Frequency (%)
O	9295	13.2%
A	8226	11.7%
E	5771	8.2%
R	5596	8.0%
I	5053	7.2%
C	4037	5.8%
D	3647	5.2%
	3304	4.7%
P	3250	4.6%
S	3226	4.6%
Other values (15)	18795	26.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	66896	95.3%
Space Separator	3304	4.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	9295	13.9%
A	8226	12.3%
E	5771	8.6%
R	5596	8.4%
I	5053	7.6%
C	4037	6.0%
D	3647	5.5%
P	3250	4.9%
S	3226	4.8%
U	3216	4.8%
Other values (14)	15579	23.3%

Space Separator

Value	Count	Frequency (%)
	3304	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66896	95.3%
Common	3304	4.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	9295	13.9%
A	8226	12.3%
E	5771	8.6%
R	5596	8.4%
I	5053	7.6%
C	4037	6.0%
D	3647	5.5%
P	3250	4.9%
S	3226	4.8%
U	3216	4.8%
Other values (14)	15579	23.3%

Common

Value	Count	Frequency (%)
	3304	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67988	96.8%
None	2212	3.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	9295	13.7%
A	8226	12.1%
E	5771	8.5%
R	5596	8.2%
I	5053	7.4%
C	4037	5.9%
D	3647	5.4%
	3304	4.9%
P	3250	4.8%
S	3226	4.7%
Other values (11)	16583	24.4%

None

Value	Count	Frequency (%)
Ó	618	27.9%
Ç	552	25.0%
Ã	552	25.0%
Á	490	22.2%

aeronave_tipo_operacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	42
Missing (%)	0.6%
Memory size	52.4 KiB

PRIVADA	1956
INSTRUÇÃO	1014
AGRÍCOLA	960
TÁXI AÉREO	845
REGULAR	842
Other values (4)	1028

Length

Max length	13
Median length	12
Mean length	8.252671181
Min length	7

Characters and Unicode

Total characters	54839
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	REGULAR
2nd row	REGULAR
3rd row	REGULAR
4th row	REGULAR
5th row	REGULAR

Common Values

Value	Count	Frequency (%)
PRIVADA	1956	29.3%
INSTRUÇÃO	1014	15.2%
AGRÍCOLA	960	14.4%
TÁXI AÉREO	845	12.6%
REGULAR	842	12.6%
POLICIAL	626	9.4%
ESPECIALIZADA	280	4.2%
NÃO REGULAR	115	1.7%
EXPERIMENTAL	7	0.1%
(Missing)	42	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
privada	1956	25.7%
instrução	1014	13.3%
agrícola	960	12.6%
regular	957	12.6%
táxi	845	11.1%
aéreo	845	11.1%
policial	626	8.2%
especializada	280	3.7%
não	115	1.5%
experimental	7	0.1%

Most occurring characters

Value	Count	Frequency (%)
A	9107	16.6%
R	6696	12.2%
I	5634	10.3%
O	3560	6.5%
L	3456	6.3%
P	2869	5.2%
E	2383	4.3%
D	2236	4.1%
U	1971	3.6%
V	1956	3.6%
Other values (14)	14971	27.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	53879	98.2%
Space Separator	960	1.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	9107	16.9%
R	6696	12.4%
I	5634	10.5%
O	3560	6.6%
L	3456	6.4%
P	2869	5.3%
E	2383	4.4%
D	2236	4.2%
U	1971	3.7%
V	1956	3.6%
Other values (13)	14011	26.0%

Space Separator

Value	Count	Frequency (%)
	960	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	53879	98.2%
Common	960	1.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	9107	16.9%
R	6696	12.4%
I	5634	10.5%
O	3560	6.6%
L	3456	6.4%
P	2869	5.3%
E	2383	4.4%
D	2236	4.2%
U	1971	3.7%
V	1956	3.6%
Other values (13)	14011	26.0%

Common

Value	Count	Frequency (%)
	960	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50046	91.3%
None	4793	8.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	9107	18.2%
R	6696	13.4%
I	5634	11.3%
O	3560	7.1%
L	3456	6.9%
P	2869	5.7%
E	2383	4.8%
D	2236	4.5%
U	1971	3.9%
V	1956	3.9%
Other values (9)	10178	20.3%

None

Value	Count	Frequency (%)
Ã	1129	23.6%
Ç	1014	21.2%
Í	960	20.0%
Á	845	17.6%
É	845	17.6%

aeronave_nivel_dano
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	7
Missing (%)	0.1%
Memory size	52.4 KiB

SUBSTANCIAL	3221
DESTRUÍDA	1670
LEVE	980
NENHUM	809

Length

Max length	11
Median length	9
Mean length	8.86751497
Min length	4

Characters and Unicode

Total characters	59235
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NENHUM
2nd row	NENHUM
3rd row	NENHUM
4th row	NENHUM
5th row	NENHUM

Common Values

Value	Count	Frequency (%)
SUBSTANCIAL	3221	48.2%
DESTRUÍDA	1670	25.0%
LEVE	980	14.7%
NENHUM	809	12.1%
(Missing)	7	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
substancial	3221	48.2%
destruída	1670	25.0%
leve	980	14.7%
nenhum	809	12.1%

Most occurring characters

Value	Count	Frequency (%)
S	8112	13.7%
A	8112	13.7%
U	5700	9.6%
T	4891	8.3%
N	4839	8.2%
E	4439	7.5%
L	4201	7.1%
D	3340	5.6%
B	3221	5.4%
C	3221	5.4%
Other values (6)	9159	15.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	59235	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	8112	13.7%
A	8112	13.7%
U	5700	9.6%
T	4891	8.3%
N	4839	8.2%
E	4439	7.5%
L	4201	7.1%
D	3340	5.6%
B	3221	5.4%
C	3221	5.4%
Other values (6)	9159	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59235	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	8112	13.7%
A	8112	13.7%
U	5700	9.6%
T	4891	8.3%
N	4839	8.2%
E	4439	7.5%
L	4201	7.1%
D	3340	5.6%
B	3221	5.4%
C	3221	5.4%
Other values (6)	9159	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57565	97.2%
None	1670	2.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	8112	14.1%
A	8112	14.1%
U	5700	9.9%
T	4891	8.5%
N	4839	8.4%
E	4439	7.7%
L	4201	7.3%
D	3340	5.8%
B	3221	5.6%
C	3221	5.6%
Other values (5)	7489	13.0%

None

Value	Count	Frequency (%)
Í	1670	100.0%

aeronave_fatalidades_total
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.012412143

Minimum	0
Maximum	10
Zeros	4611
Zeros (%)	69.0%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	5
Maximum	10
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.958512632
Coefficient of variation (CV)	1.934501325
Kurtosis	4.164042324
Mean	1.012412143
Median Absolute Deviation (MAD)	0
Skewness	2.158567841
Sum	6770
Variance	3.835771731
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	4611	69.0%
1	672	10.0%
4	380	5.7%
2	327	4.9%
5	262	3.9%
7	208	3.1%
3	138	2.1%
10	39	0.6%
8	27	0.4%
6	23	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4611	69.0%
1	672	10.0%
2	327	4.9%
3	138	2.1%
4	380	5.7%
5	262	3.9%
6	23	0.3%
7	208	3.1%
8	27	0.4%
10	39	0.6%

Value	Count	Frequency (%)
10	39	0.6%
8	27	0.4%
7	208	3.1%
6	23	0.3%
5	262	3.9%
4	380	5.7%
3	138	2.1%
2	327	4.9%
1	672	10.0%
0	4611	69.0%

fator_nome
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	69
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

JULGAMENTO DE PILOTAGEM	630
SUPERVISÃO GERENCIAL	483
APLICAÇÃO DE COMANDOS	441
PROCESSO DECISÓRIO	351
ATITUDE	345
Other values (64)	4437

Length

Max length	41
Median length	26
Mean length	19.03723643
Min length	6

Characters and Unicode

Total characters	127302
Distinct characters	36
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	APLICAÇÃO DE COMANDOS
2nd row	APLICAÇÃO DE COMANDOS
3rd row	APLICAÇÃO DE COMANDOS
4th row	ATENÇÃO
5th row	ATENÇÃO

Common Values

Value	Count	Frequency (%)
JULGAMENTO DE PILOTAGEM	630	9.4%
SUPERVISÃO GERENCIAL	483	7.2%
APLICAÇÃO DE COMANDOS	441	6.6%
PROCESSO DECISÓRIO	351	5.2%
ATITUDE	345	5.2%
MANUTENÇÃO DA AERONAVE	327	4.9%
PLANEJAMENTO DE VOO	318	4.8%
PERCEPÇÃO	291	4.4%
PROCESSOS ORGANIZACIONAIS	208	3.1%
SISTEMAS DE APOIO	205	3.1%
Other values (59)	3088	46.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2329	14.4%
julgamento	630	3.9%
pilotagem	630	3.9%
gerencial	579	3.6%
do	571	3.5%
supervisão	512	3.2%
voo	493	3.1%
aplicação	441	2.7%
comandos	441	2.7%
planejamento	434	2.7%
Other values (104)	9083	56.3%

Most occurring characters

Value	Count	Frequency (%)
O	13810	10.8%
A	13179	10.4%
E	13003	10.2%
	9456	7.4%
I	8818	6.9%
N	6928	5.4%
R	6740	5.3%
T	6294	4.9%
S	6181	4.9%
C	5676	4.5%
Other values (26)	37217	29.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	117463	92.3%
Space Separator	9456	7.4%
Open Punctuation	186	0.1%
Close Punctuation	186	0.1%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	13810	11.8%
A	13179	11.2%
E	13003	11.1%
I	8818	7.5%
N	6928	5.9%
R	6740	5.7%
T	6294	5.4%
S	6181	5.3%
C	5676	4.8%
D	5437	4.6%
Other values (22)	31397	26.7%

Space Separator

Value	Count	Frequency (%)
	9456	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	186	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	186	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	117463	92.3%
Common	9839	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	13810	11.8%
A	13179	11.2%
E	13003	11.1%
I	8818	7.5%
N	6928	5.9%
R	6740	5.7%
T	6294	5.4%
S	6181	5.3%
C	5676	4.8%
D	5437	4.6%
Other values (22)	31397	26.7%

Common

Value	Count	Frequency (%)
	9456	96.1%
(	186	1.9%
)	186	1.9%
-	11	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120431	94.6%
None	6871	5.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	13810	11.5%
A	13179	10.9%
E	13003	10.8%
	9456	7.9%
I	8818	7.3%
N	6928	5.8%
R	6740	5.6%
T	6294	5.2%
S	6181	5.1%
C	5676	4.7%
Other values (17)	30346	25.2%

None

Value	Count	Frequency (%)
Ã	2854	41.5%
Ç	2504	36.4%
Ó	624	9.1%
Á	244	3.6%
Ê	240	3.5%
Õ	228	3.3%
Í	105	1.5%
Â	61	0.9%
Ô	11	0.2%

fator_aspecto
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.2%
Missing	29
Missing (%)	0.4%
Memory size	52.4 KiB

DESEMPENHO DO SER HUMANO	3314
ASPECTO PSICOLÓGICO	2639
INFRAESTRUTURA AEROPORTUÁRIA	177
ELEMENTOS RELACIONADOS AO AMBIENTE OPERACIONAL	154
ASPECTO MÉDICO	153
Other values (6)	221

Length

Max length	46
Median length	31
Mean length	22.08065485
Min length	5

Characters and Unicode

Total characters	147013
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DESEMPENHO DO SER HUMANO
2nd row	DESEMPENHO DO SER HUMANO
3rd row	DESEMPENHO DO SER HUMANO
4th row	ASPECTO PSICOLÓGICO
5th row	ASPECTO PSICOLÓGICO

Common Values

Value	Count	Frequency (%)
DESEMPENHO DO SER HUMANO	3314	49.6%
ASPECTO PSICOLÓGICO	2639	39.5%
INFRAESTRUTURA AEROPORTUÁRIA	177	2.6%
ELEMENTOS RELACIONADOS AO AMBIENTE OPERACIONAL	154	2.3%
ASPECTO MÉDICO	153	2.3%
OUTRO	88	1.3%
ERGONOMIA	34	0.5%
INFRAESTRUTURA DE TRÁFEGO AÉREO	34	0.5%
ASPECTO DE FABRICAÇÃO	31	0.5%
ASPECTO DE PROJETO	27	0.4%
(Missing)	29	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
do	3321	16.3%
desempenho	3314	16.2%
ser	3314	16.2%
humano	3314	16.2%
aspecto	2857	14.0%
psicológico	2639	12.9%
infraestrutura	211	1.0%
aeroportuária	177	0.9%
ao	154	0.8%
operacional	154	0.8%
Other values (13)	976	4.8%

Most occurring characters

Value	Count	Frequency (%)
O	19919	13.5%
E	17821	12.1%
	13773	9.4%
S	12650	8.6%
P	9168	6.2%
C	8627	5.9%
A	8022	5.5%
N	7496	5.1%
M	7137	4.9%
D	7041	4.8%
Other values (15)	35359	24.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	133240	90.6%
Space Separator	13773	9.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	19919	14.9%
E	17821	13.4%
S	12650	9.5%
P	9168	6.9%
C	8627	6.5%
A	8022	6.0%
N	7496	5.6%
M	7137	5.4%
D	7041	5.3%
H	6628	5.0%
Other values (14)	28731	21.6%

Space Separator

Value	Count	Frequency (%)
	13773	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	133240	90.6%
Common	13773	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	19919	14.9%
E	17821	13.4%
S	12650	9.5%
P	9168	6.9%
C	8627	6.5%
A	8022	6.0%
N	7496	5.6%
M	7137	5.4%
D	7041	5.3%
H	6628	5.0%
Other values (14)	28731	21.6%

Common

Value	Count	Frequency (%)
	13773	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	143914	97.9%
None	3099	2.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	19919	13.8%
E	17821	12.4%
	13773	9.6%
S	12650	8.8%
P	9168	6.4%
C	8627	6.0%
A	8022	5.6%
N	7496	5.2%
M	7137	5.0%
D	7041	4.9%
Other values (10)	32260	22.4%

None

Value	Count	Frequency (%)
Ó	2639	85.2%
Á	211	6.8%
É	187	6.0%
Ç	31	1.0%
Ã	31	1.0%

fator_condicionante
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.1%
Missing	734
Missing (%)	11.0%
Memory size	52.4 KiB

OPERAÇÃO DA AERONAVE	2782
INDIVIDUAL	1405
ORGANIZACIONAL	886
PSICOSSOCIAL	348
MANUTENÇÃO DA AERONAVE	327

Length

Max length	38
Median length	22
Mean length	17.00890307
Min length	10

Characters and Unicode

Total characters	101254
Distinct characters	23
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OPERAÇÃO DA AERONAVE
2nd row	OPERAÇÃO DA AERONAVE
3rd row	OPERAÇÃO DA AERONAVE
4th row	INDIVIDUAL
5th row	INDIVIDUAL

Common Values

Value	Count	Frequency (%)
OPERAÇÃO DA AERONAVE	2782	41.6%
INDIVIDUAL	1405	21.0%
ORGANIZACIONAL	886	13.2%
PSICOSSOCIAL	348	5.2%
MANUTENÇÃO DA AERONAVE	327	4.9%
PRESTAÇÃO DE SERVIÇOS DE TRÁFEGO AÉREO	205	3.1%
(Missing)	734	11.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
da	3109	23.6%
aeronave	3109	23.6%
operação	2782	21.1%
individual	1405	10.6%
organizacional	886	6.7%
de	410	3.1%
psicossocial	348	2.6%
manutenção	327	2.5%
prestação	205	1.6%
serviços	205	1.6%
Other values (2)	410	3.1%

Most occurring characters

Value	Count	Frequency (%)
A	17257	17.0%
O	12288	12.1%
E	10557	10.4%
R	7597	7.5%
	7243	7.2%
N	6940	6.9%
I	6888	6.8%
D	6329	6.3%
V	4719	4.7%
Ç	3519	3.5%
Other values (13)	17917	17.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	94011	92.8%
Space Separator	7243	7.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	17257	18.4%
O	12288	13.1%
E	10557	11.2%
R	7597	8.1%
N	6940	7.4%
I	6888	7.3%
D	6329	6.7%
V	4719	5.0%
Ç	3519	3.7%
P	3335	3.5%
Other values (12)	14582	15.5%

Space Separator

Value	Count	Frequency (%)
	7243	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94011	92.8%
Common	7243	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	17257	18.4%
O	12288	13.1%
E	10557	11.2%
R	7597	8.1%
N	6940	7.4%
I	6888	7.3%
D	6329	6.7%
V	4719	5.0%
Ç	3519	3.7%
P	3335	3.5%
Other values (12)	14582	15.5%

Common

Value	Count	Frequency (%)
	7243	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94011	92.8%
None	7243	7.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	17257	18.4%
O	12288	13.1%
E	10557	11.2%
R	7597	8.1%
	7243	7.7%
N	6940	7.4%
I	6888	7.3%
D	6329	6.7%
V	4719	5.0%
P	3335	3.5%
Other values (9)	10858	11.5%

None

Value	Count	Frequency (%)
Ç	3519	48.6%
Ã	3314	45.8%
Á	205	2.8%
É	205	2.8%

fator_area
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	29
Missing (%)	0.4%
Memory size	52.4 KiB

FATOR OPERACIONAL	3679
FATOR HUMANO	2826
OUTRO	88
FATOR MATERIAL	65

Length

Max length	17
Median length	17
Mean length	14.6898468
Min length	5

Characters and Unicode

Total characters	97805
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FATOR OPERACIONAL
2nd row	FATOR OPERACIONAL
3rd row	FATOR OPERACIONAL
4th row	FATOR HUMANO
5th row	FATOR HUMANO

Common Values

Value	Count	Frequency (%)
FATOR OPERACIONAL	3679	55.0%
FATOR HUMANO	2826	42.3%
OUTRO	88	1.3%
FATOR MATERIAL	65	1.0%
(Missing)	29	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fator	6570	49.7%
operacional	3679	27.8%
humano	2826	21.4%
outro	88	0.7%
material	65	0.5%

Most occurring characters

Value	Count	Frequency (%)
O	16930	17.3%
A	16884	17.3%
R	10402	10.6%
T	6723	6.9%
F	6570	6.7%
	6570	6.7%
N	6505	6.7%
E	3744	3.8%
I	3744	3.8%
L	3744	3.8%
Other values (5)	15989	16.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	91235	93.3%
Space Separator	6570	6.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	16930	18.6%
A	16884	18.5%
R	10402	11.4%
T	6723	7.4%
F	6570	7.2%
N	6505	7.1%
E	3744	4.1%
I	3744	4.1%
L	3744	4.1%
P	3679	4.0%
Other values (4)	12310	13.5%

Space Separator

Value	Count	Frequency (%)
	6570	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	91235	93.3%
Common	6570	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	16930	18.6%
A	16884	18.5%
R	10402	11.4%
T	6723	7.4%
F	6570	7.2%
N	6505	7.1%
E	3744	4.1%
I	3744	4.1%
L	3744	4.1%
P	3679	4.0%
Other values (4)	12310	13.5%

Common

Value	Count	Frequency (%)
	6570	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97805	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	16930	17.3%
A	16884	17.3%
R	10402	10.6%
T	6723	6.9%
F	6570	6.7%
	6570	6.7%
N	6505	6.7%
E	3744	3.8%
I	3744	3.8%
L	3744	3.8%
Other values (5)	15989	16.3%

recomendacao_conteudo
Categorical

HIGH CARDINALITY

Distinct	1117
Distinct (%)	16.7%
Missing	2
Missing (%)	< 0.1%
Memory size	52.4 KiB

Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	32
Divulgar o conteúdo do presente relatório durante a realização de seminários, palestras e atividades afins voltadas aos proprietários, operadores e exploradores de aeronaves agrícolas.	28
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE CâMERAS DE USO EXCLUSIVO DO DTCEA-BR SEJAM INSTALADAS NO AERóDROMO INTERNACIONAL DE BRASíLIA, DE MODO A GARANTIR A VISUALIZAçãO E O CONTROLE DE TODOS OS PONTOS CEGOS DAQUELE AERóDROMO.	26
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE SEJA AVALIADA A PERTINêNCIA DA INCLUSãO DE HOT SPOTS NA CARTA DE AERóDROMO DE SBBR, VISANDO ALERTAR OS PILOTOS QUE OPERAM NAQUELE AERóDROMO QUANTO à EXISTêNCIA DE PONTOS CEGOS NA áREA DE MANOBRAS.	26
Atuar junto ao pessoal dos Serviços de Tráfego Aéreo (ATS) no sentido de ratificar a observância dos padrões de fraseologia de tráfego aéreo constantes no MCA 100-16, atualmente em vigor, com o objetivo de assegurar a uniformidade das comunicações radiotelefônicas.	26
Other values (1112)	6547

Length

Max length	626
Median length	388
Mean length	277.3464473
Min length	68

Characters and Unicode

Total characters	1854061
Distinct characters	107
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	115 ?
Unique (%)	1.7%

Sample

1st row	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.
2nd row	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.
3rd row	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.
4th row	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.
5th row	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.

Common Values

Value	Count	Frequency (%)
Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	32	0.5%
Divulgar o conteúdo do presente relatório durante a realização de seminários, palestras e atividades afins voltadas aos proprietários, operadores e exploradores de aeronaves agrícolas.	28	0.4%
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE CâMERAS DE USO EXCLUSIVO DO DTCEA-BR SEJAM INSTALADAS NO AERóDROMO INTERNACIONAL DE BRASíLIA, DE MODO A GARANTIR A VISUALIZAçãO E O CONTROLE DE TODOS OS PONTOS CEGOS DAQUELE AERóDROMO.	26	0.4%
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE SEJA AVALIADA A PERTINêNCIA DA INCLUSãO DE HOT SPOTS NA CARTA DE AERóDROMO DE SBBR, VISANDO ALERTAR OS PILOTOS QUE OPERAM NAQUELE AERóDROMO QUANTO à EXISTêNCIA DE PONTOS CEGOS NA áREA DE MANOBRAS.	26	0.4%
Atuar junto ao pessoal dos Serviços de Tráfego Aéreo (ATS) no sentido de ratificar a observância dos padrões de fraseologia de tráfego aéreo constantes no MCA 100-16, atualmente em vigor, com o objetivo de assegurar a uniformidade das comunicações radiotelefônicas.	26	0.4%
Atuar junto à LATAM AIRLINES GROUP S.A., a fim de que aquele operador reavalie a adequabilidade do sistema otimizador de escala CARMEN e do modelo biomatemático BAM, sobretudo no que diz respeito aos mecanismos de proteção e alerta contra fadiga, visando minimizar efeitos adversos sobre as operações da empresa.	26	0.4%
Atuar junto à LATAM AIRLINES GROUP S.A., a fim de que aquele operador reavalie a adequabilidade do programa de treinamento aplicado a seus pilotos, sobretudo no que diz respeito à frequência e ao controle dos treinamentos de pouso sem o Auto Thrust - Controle Automático de Empuxo (A/THR).	26	0.4%
ANALISAR A PERTINêNCIA DE SE ESTABELECER, COM CLAREZA E EM NORMA, O MOMENTO OU A POSIçãO EM QUE, APóS O POUSO, A TRIPULAçãO DE UMA AERONAVE DEVE TROCAR A FREQUêNCIA DA TORRE DE CONTROLE PARA O CONTROLE DE SOLO.	26	0.4%
ALERTAR OS CONTROLADORES DE TRáFEGO AéREO BRASILEIROS SOBRE A IMPORTâNCIA DA UTILIZAçãO DA FRASEOLOGIA PADRãO PREVISTA NO MCA 100-16, NOTADAMENTE NO QUE SE REFERE O ITEM 3.4.3.4 (INSTRUçõES APóS O POUSO), ONDE é APRESENTADO UM EXEMPLO DE MENSAGEM CORRETA.	26	0.4%
ALERTAR OS CONTROLADORES DE TRáFEGO AéREO BRASILEIROS SOBRE A IMPORTâNCIA DA UTILIZAçãO DO RECURSO DE FRASEOLOGIA PREVISTO NO ITEM 6.14.6.4 DA ICA 100-37/2017, O QUAL ORIENTA QUE, QUANDO NECESSáRIO OU DESEJáVEL, O CONTROLADOR PODERá INSTRUIR UMA TRIPULAçãO A REPORTAR O MOMENTO EM QUE SUA RESPECTIVA AERONAVE TIVER DESOCUPADO A PISTA EM USO.	26	0.4%
Other values (1107)	6417	96.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	26669	9.5%
a	11595	4.1%
e	7181	2.6%
que	6447	2.3%
da	5229	1.9%
do	4974	1.8%
o	4202	1.5%
os	4200	1.5%
no	3452	1.2%
à	3346	1.2%
Other values (4673)	203553	72.5%

Most occurring characters

Value	Count	Frequency (%)
	276165	14.9%
e	151353	8.2%
a	142360	7.7%
o	128312	6.9%
s	91160	4.9%
r	87905	4.7%
i	81799	4.4%
d	70816	3.8%
n	63295	3.4%
t	59085	3.2%
Other values (97)	701811	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1195407	64.5%
Uppercase Letter	333704	18.0%
Space Separator	276165	14.9%
Other Punctuation	28070	1.5%
Decimal Number	12747	0.7%
Dash Punctuation	3182	0.2%
Close Punctuation	2109	0.1%
Open Punctuation	2067	0.1%
Final Punctuation	217	< 0.1%
Initial Punctuation	215	< 0.1%
Other values (3)	178	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	151353	12.7%
a	142360	11.9%
o	128312	10.7%
s	91160	7.6%
r	87905	7.4%
i	81799	6.8%
d	70816	5.9%
n	63295	5.3%
t	59085	4.9%
c	38073	3.2%
Other values (29)	281249	23.5%

Uppercase Letter

Value	Count	Frequency (%)
A	48275	14.5%
E	40417	12.1%
O	33741	10.1%
R	26841	8.0%
S	24669	7.4%
I	21972	6.6%
D	18333	5.5%
T	16923	5.1%
N	16724	5.0%
C	14297	4.3%
Other values (27)	71512	21.4%

Other Punctuation

Value	Count	Frequency (%)
,	17258	61.5%
.	9030	32.2%
?	944	3.4%
/	578	2.1%
:	97	0.3%
;	66	0.2%
"	56	0.2%
%	22	0.1%
'	10	< 0.1%
&	9	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	2842	22.3%
1	2660	20.9%
2	1800	14.1%
3	1230	9.6%
5	974	7.6%
4	821	6.4%
6	727	5.7%
9	609	4.8%
7	593	4.7%
8	491	3.9%

Dash Punctuation

Value	Count	Frequency (%)
-	3125	98.2%
–	57	1.8%

Final Punctuation

Value	Count	Frequency (%)
”	215	99.1%
’	2	0.9%

Space Separator

Value	Count	Frequency (%)
	276165	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2109	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2067	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	215	100.0%

Other Letter

Value	Count	Frequency (%)
º	106	100.0%

Other Symbol

Value	Count	Frequency (%)
°	68	100.0%

Other Number

Value	Count	Frequency (%)
½	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1529217	82.5%
Common	324844	17.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	151353	9.9%
a	142360	9.3%
o	128312	8.4%
s	91160	6.0%
r	87905	5.7%
i	81799	5.3%
d	70816	4.6%
n	63295	4.1%
t	59085	3.9%
A	48275	3.2%
Other values (67)	604857	39.6%

Common

Value	Count	Frequency (%)
	276165	85.0%
,	17258	5.3%
.	9030	2.8%
-	3125	1.0%
0	2842	0.9%
1	2660	0.8%
)	2109	0.6%
(	2067	0.6%
2	1800	0.6%
3	1230	0.4%
Other values (20)	6558	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1790920	96.6%
None	62652	3.4%
Punctuation	489	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	276165	15.4%
e	151353	8.5%
a	142360	7.9%
o	128312	7.2%
s	91160	5.1%
r	87905	4.9%
i	81799	4.6%
d	70816	4.0%
n	63295	3.5%
t	59085	3.3%
Other values (66)	638670	35.7%

None

Value	Count	Frequency (%)
ç	19049	30.4%
ã	15565	24.8%
á	5039	8.0%
õ	4330	6.9%
à	3949	6.3%
é	3616	5.8%
í	3065	4.9%
ó	2844	4.5%
ê	2165	3.5%
â	1578	2.5%
Other values (17)	1452	2.3%

Punctuation

Value	Count	Frequency (%)
“	215	44.0%
”	215	44.0%
–	57	11.7%
’	2	0.4%

recomendacao_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	28
Missing (%)	0.4%
Memory size	52.4 KiB

CUMPRIDA	4441
AGUARDANDO RESPOSTA	1371
CUMPRIDA DE FORMA ALTERNATIVA	463
NÃO CUMPRIDA	384

Length

Max length	29
Median length	8
Mean length	11.95554888
Min length	8

Characters and Unicode

Total characters	79612
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CUMPRIDA
2nd row	CUMPRIDA
3rd row	AGUARDANDO RESPOSTA
4th row	CUMPRIDA
5th row	CUMPRIDA

Common Values

Value	Count	Frequency (%)
CUMPRIDA	4441	66.4%
AGUARDANDO RESPOSTA	1371	20.5%
CUMPRIDA DE FORMA ALTERNATIVA	463	6.9%
NÃO CUMPRIDA	384	5.7%
(Missing)	28	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cumprida	5288	53.9%
aguardando	1371	14.0%
resposta	1371	14.0%
de	463	4.7%
forma	463	4.7%
alternativa	463	4.7%
não	384	3.9%

Most occurring characters

Value	Count	Frequency (%)
A	12624	15.9%
R	8956	11.2%
D	8493	10.7%
P	6659	8.4%
U	6659	8.4%
M	5751	7.2%
I	5751	7.2%
C	5288	6.6%
O	3589	4.5%
	3144	3.9%
Other values (9)	12698	15.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	76468	96.1%
Space Separator	3144	3.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	12624	16.5%
R	8956	11.7%
D	8493	11.1%
P	6659	8.7%
U	6659	8.7%
M	5751	7.5%
I	5751	7.5%
C	5288	6.9%
O	3589	4.7%
S	2742	3.6%
Other values (8)	9956	13.0%

Space Separator

Value	Count	Frequency (%)
	3144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76468	96.1%
Common	3144	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	12624	16.5%
R	8956	11.7%
D	8493	11.1%
P	6659	8.7%
U	6659	8.7%
M	5751	7.5%
I	5751	7.5%
C	5288	6.9%
O	3589	4.7%
S	2742	3.6%
Other values (8)	9956	13.0%

Common

Value	Count	Frequency (%)
	3144	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79228	99.5%
None	384	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	12624	15.9%
R	8956	11.3%
D	8493	10.7%
P	6659	8.4%
U	6659	8.4%
M	5751	7.3%
I	5751	7.3%
C	5288	6.7%
O	3589	4.5%
	3144	4.0%
Other values (8)	12314	15.5%

None

Value	Count	Frequency (%)
Ã	384	100.0%

recomendacao_destinatario_sigla
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	52.4 KiB

ANAC	5949
DECEA	581
ANP	29
SINDAG	21
SSP-GO	20
Other values (13)	87

Length

Max length	9
Median length	4
Mean length	4.113653357
Min length	2

Characters and Unicode

Total characters	27508
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.1%

Sample

1st row	ANAC
2nd row	ANAC
3rd row	DECEA
4th row	ANAC
5th row	ANAC

Common Values

Value	Count	Frequency (%)
ANAC	5949	89.0%
DECEA	581	8.7%
ANP	29	0.4%
SINDAG	21	0.3%
SSP-GO	20	0.3%
CNP	20	0.3%
DIRSA	16	0.2%
LYCOMING	13	0.2%
AEROPREST	12	0.2%
ABAG	7	0.1%
Other values (8)	19	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
anac	5949	89.0%
decea	581	8.7%
anp	29	0.4%
sindag	21	0.3%
ssp-go	20	0.3%
cnp	20	0.3%
dirsa	16	0.2%
lycoming	13	0.2%
aeroprest	12	0.2%
abag	7	0.1%
Other values (8)	19	0.3%

Most occurring characters

Value	Count	Frequency (%)
A	12584	45.7%
C	6566	23.9%
N	6033	21.9%
E	1193	4.3%
D	619	2.3%
S	98	0.4%
P	89	0.3%
G	61	0.2%
R	52	0.2%
I	52	0.2%
Other values (9)	161	0.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	27488	99.9%
Dash Punctuation	20	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	12584	45.8%
C	6566	23.9%
N	6033	21.9%
E	1193	4.3%
D	619	2.3%
S	98	0.4%
P	89	0.3%
G	61	0.2%
R	52	0.2%
I	52	0.2%
Other values (8)	141	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27488	99.9%
Common	20	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	12584	45.8%
C	6566	23.9%
N	6033	21.9%
E	1193	4.3%
D	619	2.3%
S	98	0.4%
P	89	0.3%
G	61	0.2%
R	52	0.2%
I	52	0.2%
Other values (8)	141	0.5%

Common

Value	Count	Frequency (%)
-	20	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27502	> 99.9%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	12584	45.8%
C	6566	23.9%
N	6033	21.9%
E	1193	4.3%
D	619	2.3%
S	98	0.4%
P	89	0.3%
G	61	0.2%
R	52	0.2%
I	52	0.2%
Other values (8)	155	0.6%

None

Value	Count	Frequency (%)
Á	6	100.0%

recomendacao_dias_para_feedback
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	246
Distinct (%)	5.7%
Missing	2338
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	173.8344447

Minimum	0
Maximum	1254
Zeros	8
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	52.4 KiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	58
median	108
Q3	210
95-th percentile	657
Maximum	1254
Range	1254
Interquartile range (IQR)	152

Descriptive statistics

Standard deviation	196.4224092
Coefficient of variation (CV)	1.129939521
Kurtosis	7.713546126
Mean	173.8344447
Median Absolute Deviation (MAD)	66
Skewness	2.563101279
Sum	756006
Variance	38581.76283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
97	177	2.6%
265	142	2.1%
108	112	1.7%
159	108	1.6%
100	102	1.5%
30	90	1.3%
61	84	1.3%
79	82	1.2%
56	77	1.2%
158	72	1.1%
Other values (236)	3303	49.4%
(Missing)	2338	35.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	0.1%
3	8	0.1%
4	31	0.5%
5	18	0.3%
7	10	0.1%
8	33	0.5%
9	52	0.8%
10	53	0.8%
12	20	0.3%
13	35	0.5%

Value	Count	Frequency (%)
1254	8	0.1%
1219	20	0.3%
1148	3	< 0.1%
938	1	< 0.1%
937	2	< 0.1%
915	40	0.6%
894	2	< 0.1%
832	10	0.1%
786	7	0.1%
767	5	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	investigacao_aeronave_liberada	investigacao_status	divulgacao_relatorio_publicado	total_recomendacoes	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_DT	ocorrencia_mes	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano	fator_nome	fator_aspecto	fator_condicionante	fator_area	recomendacao_conteudo	recomendacao_status	recomendacao_destinatario_sigla	recomendacao_dias_para_feedback
0	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA	ANAC	117.0
1	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.	CUMPRIDA	ANAC	117.0
2	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.	AGUARDANDO RESPOSTA	DECEA	NaN
3	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	ATENÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA	ANAC	117.0
4	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	ATENÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.	CUMPRIDA	ANAC	117.0
5	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	ATENÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.	AGUARDANDO RESPOSTA	DECEA	NaN
6	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CAPACITAÇÃO E TREINAMENTO	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA	ANAC	117.0
7	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CAPACITAÇÃO E TREINAMENTO	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.	CUMPRIDA	ANAC	117.0
8	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CAPACITAÇÃO E TREINAMENTO	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.	AGUARDANDO RESPOSTA	DECEA	NaN
9	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	2012-06-01 13:44:00	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CLIMA ORGANIZACIONAL	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA	ANAC	117.0

Last rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	investigacao_aeronave_liberada	investigacao_status	divulgacao_relatorio_publicado	total_recomendacoes	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_DT	ocorrencia_mes	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano	aeronave_fatalidades_total	fator_nome	fator_aspecto	fator_condicionante	fator_area	recomendacao_conteudo	recomendacao_status	recomendacao_destinatario_sigla	recomendacao_dias_para_feedback
6677	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	MEMÓRIA	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto à empresa Plá e Silva Aviação Agrícola Ltda., no intuito de que aquele operador oriente seus tripulantes a manterem a bomba elétrica auxiliar de combustível ligada, conforme prevê o Boletim de Informação (BI) 200-028-0022, emitido pela Embraer.	AGUARDANDO RESPOSTA	ANAC	NaN
6678	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	MEMÓRIA	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Divulgar os ensinamentos colhidos na presente investigação, com o propósito de alertar pilotos e operadores das aeronaves EMB-200, EMB-200A, EMB-201, EMB-201A, EMB-202, EMB-202A e EMB-203 sobre a importância de se manter a bomba elétrica auxiliar de combustível ligada, conforme prevê o Boletim de Informação (BI) 200-028-0022, emitido pela Embraer.	AGUARDANDO RESPOSTA	ANAC	NaN
6679	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	PROCESSO DECISÓRIO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto à empresa Plá e Silva Aviação Agrícola Ltda., a fim de que aquele operador aprimore suas atividades de supervisão gerencial e que padronize seus procedimentos operacionais, como forma de estabelecer barreiras eficazes ao erro humano.	AGUARDANDO RESPOSTA	ANAC	NaN
6680	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	PROCESSO DECISÓRIO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto à empresa Plá e Silva Aviação Agrícola Ltda., no intuito de que aquele operador oriente seus tripulantes a manterem a bomba elétrica auxiliar de combustível ligada, conforme prevê o Boletim de Informação (BI) 200-028-0022, emitido pela Embraer.	AGUARDANDO RESPOSTA	ANAC	NaN
6681	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	PROCESSO DECISÓRIO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Divulgar os ensinamentos colhidos na presente investigação, com o propósito de alertar pilotos e operadores das aeronaves EMB-200, EMB-200A, EMB-201, EMB-201A, EMB-202, EMB-202A e EMB-203 sobre a importância de se manter a bomba elétrica auxiliar de combustível ligada, conforme prevê o Boletim de Informação (BI) 200-028-0022, emitido pela Embraer.	AGUARDANDO RESPOSTA	ANAC	NaN
6682	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	SUPERVISÃO GERENCIAL	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à empresa Plá e Silva Aviação Agrícola Ltda., a fim de que aquele operador aprimore suas atividades de supervisão gerencial e que padronize seus procedimentos operacionais, como forma de estabelecer barreiras eficazes ao erro humano.	AGUARDANDO RESPOSTA	ANAC	NaN
6683	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	SUPERVISÃO GERENCIAL	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à empresa Plá e Silva Aviação Agrícola Ltda., no intuito de que aquele operador oriente seus tripulantes a manterem a bomba elétrica auxiliar de combustível ligada, conforme prevê o Boletim de Informação (BI) 200-028-0022, emitido pela Embraer.	AGUARDANDO RESPOSTA	ANAC	NaN
6684	ACIDENTE	SANTA VITÓRIA DO PALMAR - RS	RS	NaN	06/12/2020	13:15:00	SIM	FINALIZADA	SIM	3	1	NÃO	\t-33.176944\t / \t-53.014167\t	2020-06-12 13:15:00	6.0	PANE SECA	COMBUSTÍVEL \| PANE SECA	FUEL	PTUXD	NaN	AVIÃO	EMBRAER	EMB-202	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2009.0	AVIÃO	AGRÍCOLA	PISTA PLÁ E SILVA	PISTA PLÁ E SILVA	MANOBRA	AGRÍCOLA	SUBSTANCIAL	0	SUPERVISÃO GERENCIAL	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Divulgar os ensinamentos colhidos na presente investigação, com o propósito de alertar pilotos e operadores das aeronaves EMB-200, EMB-200A, EMB-201, EMB-201A, EMB-202, EMB-202A e EMB-203 sobre a importância de se manter a bomba elétrica auxiliar de combustível ligada, conforme prevê o Boletim de Informação (BI) 200-028-0022, emitido pela Embraer.	AGUARDANDO RESPOSTA	ANAC	NaN
6685	ACIDENTE	ARACAJU - SE	SE	NaN	06/05/2021	14:57:00	SIM	FINALIZADA	SIM	2	1	NÃO	-10.98472 / -37.05166	2021-06-05 14:57:00	6.0	PERDA DE CONTROLE EM VOO	PERDA DE CONTROLE EM VOO	LOC-I	PRZSF	NaN	NaN	NaN	NaN	NaN	NaN	SEM TRAÇÃO	0	0	0.0	NaN	NaN	EXPERIMENTAL	SANTA MARIA	FAZENDA SANTO ANTÔNIO	RETA FINAL	PRIVADA	DESTRUÍDA	1	MANUTENÇÃO DA AERONAVE	DESEMPENHO DO SER HUMANO	MANUTENÇÃO DA AERONAVE	FATOR OPERACIONAL	Divulgar os ensinamentos colhidos nesta investigação aos operadores de aeronaves experimentais, modelos RV-10 e RV-10A, alertando-os para a necessidade de se dispensar especial atenção para o estado geral das cablagens do atuador dos compensadores, por ocasião da realização dos procedimentos de manutenção preventiva, visando identificar condições indesejáveis que possam concorrer para um contato acidental dos cabos condutores com a estrutura do manche, resultando no acionamento involuntário do relé do trim.	AGUARDANDO RESPOSTA	ANAC	NaN
6686	ACIDENTE	ARACAJU - SE	SE	NaN	06/05/2021	14:57:00	SIM	FINALIZADA	SIM	2	1	NÃO	-10.98472 / -37.05166	2021-06-05 14:57:00	6.0	PERDA DE CONTROLE EM VOO	PERDA DE CONTROLE EM VOO	LOC-I	PRZSF	NaN	NaN	NaN	NaN	NaN	NaN	SEM TRAÇÃO	0	0	0.0	NaN	NaN	EXPERIMENTAL	SANTA MARIA	FAZENDA SANTO ANTÔNIO	RETA FINAL	PRIVADA	DESTRUÍDA	1	MANUTENÇÃO DA AERONAVE	DESEMPENHO DO SER HUMANO	MANUTENÇÃO DA AERONAVE	FATOR OPERACIONAL	Divulgar os ensinamentos colhidos nesta investigação aos operadores de aeronaves experimentais, modelos RV-10 e RV-10A, afetadas pelo Boletim de Serviço, SB-001/17-Flyer, alertando-os para o fiel cumprimento do referido boletim.	AGUARDANDO RESPOSTA	ANAC	NaN

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